System

Abstract

An object of a system according to an embodiment is to reduce burdens in terms of money and labor in preparation for a wedding.SOLUTION: A system according to an embodiment includes a venue suggestion unit, an invitation letter creation unit, a venue design unit, and a movie production unit. The venue proposal unit proposes a venue based on the number of couples and the budget. The invitation letter creation section creates an invitation letter and a seating chart. The venue design unit coordinates the design of the venue. The movie production unit produces a movie.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The technology of the present disclosure relates to a system. [Background technology]

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] With conventional technology, wedding preparations were a major financial and labor-intensive burden.

[0005] The system according to the embodiment aims to reduce the financial and labor burden involved in preparing for a wedding ceremony. [Means for solving the problem]

[0006] The system according to the embodiment includes a venue suggestion unit, an invitation creation unit, a venue design unit, and a movie production unit. The venue suggestion unit suggests a venue based on the number of couples and the budget. The invitation creation unit creates invitations and seating charts. The venue design unit coordinates the design of the venue. The movie production unit produces a movie. [Effects of the Invention]

[0007] The system according to the embodiment can reduce the financial and labor burden involved in preparing for a wedding ceremony. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10] 1 shows an emotion map onto which multiple emotions are mapped. DETAILED DESCRIPTION OF THE INVENTION

[0009] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0010] First, the terms used in the following description will be explained.

[0011] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, the processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), or a TPU (Tensor Processing Unit).

[0012] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0013] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0014] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), and Bluetooth (registered trademark).

[0015] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0016] [First embodiment] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0017] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0018] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0019] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0020] The reception device 38 includes a touch panel 38A and a microphone 38B, and receives user input. The touch panel 38A detects contact with a pointer (for example, a pen or a finger) to receive user input by the touch of the pointer. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 (see FIG. 2) acquires the data indicating the user input.

[0021] Output device 40 includes a display 40A and a speaker 40B, and presents data to a user by outputting the data in a form of expression that the user can perceive (e.g., audio and / or text). Display 40A displays visible information such as text and images in accordance with instructions from processor 46. Speaker 40B outputs audio in accordance with instructions from processor 46. Camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0022] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0023] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0024] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0025] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0026] In the smart device 14, the specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The specific processing program 60 is used together with the specific processing program 56 by the data processing system 10. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart device 14 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0027] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device (e.g., a generation server) may have the data generation model 58. In this case, the data processing device 12 obtains a processing result (prediction result, etc.) using the data generation model 58 by communicating with the server device having the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device owned by a user (e.g., a mobile phone, a robot, a home appliance, etc.). Next, an example of processing by the data processing system 10 according to the first embodiment will be described.

[0028] (Example 1) A wedding preparation support system according to an embodiment of the present invention uses text generation AI and image generation AI to support wedding preparations. This system suggests a venue based on the number of couples and their budget, creates invitations and seating charts, coordinates the venue design, and produces videos. This allows the wedding preparation support system to efficiently advance wedding preparations and reduce the financial and labor burden on couples.

[0029] A wedding preparation support system according to an embodiment includes a venue suggestion unit, an invitation creation unit, a venue design unit, and a movie production unit. The venue suggestion unit suggests a venue based on the couple's number of guests and budget. For example, if a couple inputs criteria such as "50 people, budget within 1 million yen," the generation AI lists venues that meet those criteria and suggests them to the couple. The venue suggestion unit also automatically reserves the selected venue. The invitation creation unit creates invitations and seating charts. For example, if a couple inputs the contents of an invitation, the generation AI generates a beautifully designed invitation based on that content. Furthermore, when creating a seating chart, the generation AI creates an optimal seating chart simply by inputting a guest list. The generation AI also creates speech manuscripts based on the couple's requests. The venue design unit coordinates the design of the venue. For example, if a couple inputs their desired theme and color scheme, the image generation AI proposes a venue design based on that information. Furthermore, necessary accessories (tablecloths, decorations, etc.) are automatically ordered based on the proposed design. The movie production unit produces a movie. For example, when a couple provides photos and video clips, the video generation AI creates an inspiring movie based on those materials. The movie's theme and music can also be customized according to the couple's requests. This allows the wedding preparation support system according to the embodiment to efficiently advance wedding preparations and reduce the financial and labor burden on couples. For example, it can automate many of the tasks required for wedding preparations, such as selecting and reserving a venue, creating invitations, coordinating the venue design, and creating a movie. This allows couples to devote more time to other important preparations and private time.

[0030] The venue suggestion unit can automatically collect past user reviews and ratings and reflect them in the proposals. For example, the venue suggestion unit automatically collects past user reviews and ratings for venues proposed by the generation AI and reflects them in the proposals. For example, it analyzes rating data from review sites and social media and incorporates the venue's rating points into the proposal. The venue suggestion unit also collects reviews and ratings for the proposed venue, and the generation AI presents the couple with the advantages and disadvantages of the venue based on that data. For example, it highlights points that past users gave high ratings to. The venue suggestion unit also collects past user reviews and ratings, and the generation AI customizes the venue suggestions based on that data. For example, if a particular venue has a low rating, it will suggest an alternative venue. This makes the venue suggestions more reliable.

[0031] The venue suggestion unit can make personalized suggestions based on the couple's hobbies and lifestyle. In the venue suggestion unit, the generation AI makes personalized venue suggestions based on the couple's hobbies and lifestyle, for example. For example, for a couple who loves the outdoors, it would suggest a venue rich in nature. The venue suggestion unit also collects lifestyle data on the couple, and the generation AI suggests the most suitable venue based on that data. For example, for a couple who prefers city life, it would suggest an urban venue. The venue suggestion unit also inputs information about the couple's hobbies and lifestyle, and the generation AI customizes the venue suggestions based on that data. For example, for a couple who love music, it would suggest a venue that allows live performances. This makes it possible to suggest venues that meet the individual needs of each couple.

[0032] The venue suggestion unit can automatically arrange transportation and accommodation in addition to proposing and booking venues. For example, the venue suggestion unit will build a system in which the generation AI automatically arranges transportation and accommodation in addition to proposing and booking venues. For example, it will suggest transportation to the venue and nearby accommodation. Furthermore, the venue suggestion unit will automatically arrange transportation and accommodation in addition to proposing and booking venues. For example, it will arrange transportation and accommodation for guests all at once. Furthermore, the venue suggestion unit will develop a system in which the generation AI automatically arranges transportation and accommodation in addition to proposing and booking venues. For example, it will arrange transportation and accommodation at the same time as booking the venue. This will allow transportation and accommodation to be arranged all at once in addition to proposing and booking venues.

[0033] The venue suggestion unit can create a virtual tour of the proposed venue, allowing couples to tour the venue online. For example, the venue suggestion unit builds a system in which a generation AI creates a virtual tour of the proposed venue, allowing couples to tour the venue online. For example, a virtual tour using a 360-degree camera is provided. The venue suggestion unit also creates a virtual tour of the proposed venue, allowing couples to tour the venue online. For example, details of the interior and exterior of the venue are confirmed on the virtual tour. The venue suggestion unit also develops a system in which a generation AI creates a virtual tour of the proposed venue, allowing couples to tour the venue online. For example, a tour using virtual reality (VR) technology is provided. This allows couples to tour the venue online, saving time and effort.

[0034] The invitation creation unit can analyze a couple's past social media posts and photos and provide individually customized designs. For example, when the generation AI proposes designs for invitations and seating charts, the invitation creation unit analyzes a couple's past social media posts and photos and provides individually customized designs. For example, the design is created based on the couple's photos and post content. The invitation creation unit also analyzes a couple's past social media posts and photos, and the generation AI customizes the invitation and seating chart designs based on that data. For example, it proposes designs that match the couple's hobbies and preferences. The invitation creation unit also builds a system in which the generation AI analyzes a couple's past social media posts and photos and provides individually customized invitation and seating chart designs. For example, it incorporates memorable photos of the couple into the design. This makes it possible to design invitations and seating charts that meet the individual needs of couples.

[0035] The invitation creation unit can automatically incorporate the couple's shared memories and episodes when creating a speech manuscript. For example, the invitation creation unit builds a system in which the generation AI automatically incorporates the couple's shared memories and episodes when creating a speech manuscript. For example, the speech content is created based on the couple's past photos and messages. The invitation creation unit also creates a speech manuscript in which the generation AI automatically incorporates the couple's shared memories and episodes. For example, the speech reflects the couple's meeting and special moments. The invitation creation unit also develops a system in which the generation AI creates a speech manuscript in which the couple's shared memories and episodes are automatically incorporated. For example, the speech incorporates places and events that are memorable to the couple. This makes it possible to create a speech manuscript that reflects the couple's shared memories and episodes.

[0036] In addition to supporting the creation of invitations and seating charts, the invitation creation unit can also create wedding programs and menus. For example, the invitation creation unit will build a system in which the generation AI not only supports the creation of invitations and seating charts, but also creates wedding programs and menus. For example, it can automatically generate them by simply entering the program contents and menu details. In addition, the invitation creation unit will develop a system in which the generation AI not only supports the creation of invitations and seating charts, but also creates wedding programs and menus. For example, it can create designs based on the program schedule and menu list. In addition, the invitation creation unit will develop a system in which the generation AI not only supports the creation of invitations and seating charts, but also creates wedding programs and menus. For example, it can automatically generate them by simply entering the program and menu contents. This will also automate the creation of wedding programs and menus.

[0037] The invitation creation unit can automatically translate the invitations and seating charts created by the generation AI into multiple languages, making them suitable for international guests. The invitation creation unit, for example, builds a system that automatically translates the invitations and seating charts created by the generation AI into multiple languages, making them suitable for international guests. For example, it translates into English, French, Chinese, etc. The invitation creation unit also automatically translates the invitations and seating charts using the generation AI, making them suitable for international guests. For example, it provides invitations and seating charts in the guest's native language. The invitation creation unit also develops a system that automatically translates the invitations and seating charts created by the generation AI into multiple languages, making them suitable for international guests. For example, it sends the translated invitations and seating charts to the guests. This makes it possible to create invitations and seating charts that are suitable for international guests.

[0038] The venue design department can analyze photos and videos of past weddings and provide designs that reflect trends. For example, when image generation AI proposes a venue design, the venue design department will build a system that analyzes photos and videos of past weddings and provides designs that reflect trends. For example, popular design elements will be incorporated. The venue design department will also analyze photos and videos of past weddings and, based on that data, the image generation AI will propose venue designs that reflect trends. For example, proposals will be made that incorporate the latest design trends. The venue design department will also develop a system that analyzes photos and videos of past weddings and provides venue designs that reflect trends. For example, popular decorations and layouts will be reflected in proposals. This will enable venue designs that reflect trends to be provided.

[0039] The venue design department can propose custom-made accessories that match the couple's preferences when ordering accessories. For example, the venue design department will build a system in which, when ordering accessories, an image generation AI will propose custom-made accessories that match the couple's preferences. For example, it will design accessories that match the couple's preferences and theme. The venue design department will also propose custom-made accessories that match the couple's preferences using an image generation AI, and place an order based on that design. For example, it will propose accessories that incorporate the couple's desired colors and designs. The venue design department will also develop a system in which, when ordering accessories, an image generation AI will propose custom-made accessories that match the couple's preferences. For example, it will design accessories that match the couple's theme and style. This will allow it to propose custom-made accessories that match the couple's preferences.

[0040] In addition to coordinating the venue design, the venue design department can also suggest outfits and accessories that match the wedding theme. For example, the venue design department will build a system in which image generation AI will not only coordinate the venue design but also suggest outfits and accessories that match the wedding theme. For example, it will suggest dresses and accessories that match the theme. Furthermore, the venue design department will not only coordinate the venue design but also suggest outfits and accessories that match the wedding theme. For example, it will design outfits that match the theme desired by the couple. Furthermore, the venue design department will not only coordinate the venue design but also develop a system in which image generation AI will not only suggest outfits and accessories that match the wedding theme. For example, it will suggest accessories that match the theme. This will make it possible to suggest outfits and accessories that match the wedding theme.

[0041] The venue design department can enable couples to experience designs proposed by the image generation AI in virtual reality (VR). For example, the venue design department builds a system that enables couples to experience designs proposed by the image generation AI in virtual reality (VR). For example, the venue design is experienced using a VR headset. The venue design department also enables couples to experience the proposed venue design in virtual reality (VR). For example, VR technology is used to check the interior and exterior of the venue through a virtual tour. The venue design department also develops a system that enables couples to experience designs proposed by the image generation AI in virtual reality (VR). For example, VR technology is used to realistically reproduce the venue design. This allows couples to experience the venue design in virtual reality.

[0042] The movie production department can incorporate couples' favorite music and movie scenes. For example, the movie production department will build a system in which the generation AI will incorporate couples' favorite music and movie scenes when producing a movie. For example, the couple's favorite song will be used as background music. The movie production department will also create a movie in which the generation AI will incorporate couples' favorite music and movie scenes. For example, songs and movie scenes that are memorable to the couple will be incorporated into the movie. The movie production department will also develop a system in which the generation AI will incorporate couples' favorite music and movie scenes when producing a movie. For example, music and scenes will be selected according to the couple's requests. This will allow movies to be created that are tailored to the couple's preferences.

[0043] In addition to producing movies, the movie production department can also provide live streaming and recording services for weddings. For example, the movie production department will build a system where video generation AI will provide live streaming and recording services for weddings in addition to producing movies. For example, it will automatically live stream weddings. The movie production department will also develop a system where video generation AI will provide live streaming and recording services for weddings in addition to producing movies. For example, it will record important scenes from the wedding so that they can be viewed later. In addition to producing movies, the movie production department will develop a system where video generation AI will provide live streaming and recording services for weddings in addition to producing movies. For example, it will perform live streaming and recording simultaneously. This will allow it to provide live streaming and recording services for weddings.

[0044] The movie production department can provide movies created by the video generation AI in multiple formats (for example, short videos and slideshows) to encourage sharing on social media. The movie production department, for example, builds a system that provides movies created by the video generation AI in multiple formats (for example, short videos and slideshows) to encourage sharing on social media. For example, it automatically generates short videos. The movie production department also provides the created movies in multiple formats to encourage sharing on social media. For example, it creates movies in slideshow format and shares them on social media. The movie production department also develops a system that provides movies created by the video generation AI in multiple formats to encourage sharing on social media. For example, it automatically generates short videos and slideshows and shares them on social media. This makes it possible to provide movies in multiple formats to encourage sharing on social media.

[0045] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0046] The venue suggestion unit can make personalized suggestions based on the couple's hobbies and lifestyle. For example, it can suggest a venue surrounded by nature to a couple who loves the outdoors. It can also suggest an urban venue to a couple who prefers city life. It can also suggest a venue that allows live music to a couple who loves music. This makes it possible to suggest venues that meet the individual needs of each couple.

[0047] The invitation creation unit can analyze a couple's past social media posts and photos to provide individually customized designs. For example, it can create a design based on the couple's photos and posts. It can also suggest designs that match the couple's hobbies and preferences. It can also incorporate memorable photos of the couple into the design. This makes it possible to design invitations and seating charts that meet the individual needs of each couple.

[0048] The venue design department can analyze photos and videos of past weddings to provide designs that reflect current trends. For example, they can incorporate popular design elements. They can also make proposals that incorporate the latest design trends. They can also incorporate popular decorations and layouts into their proposals. This allows them to provide venue designs that reflect current trends.

[0049] The movie production department can incorporate couples' favorite music and movie scenes. For example, the couple's favorite song can be used as background music. It can also incorporate songs and movie scenes that are memorable to the couple into the movie. It can also select music and scenes according to the couple's requests. This allows movies to be created that are tailored to the couple's preferences.

[0050] In addition to producing movies, the Movie Production Department can also provide live streaming and recording services for weddings. For example, it can automatically live stream weddings. It can also record important scenes from weddings and make them available for later viewing. It can also simultaneously live stream and record. This allows it to provide live streaming and recording services for weddings.

[0051] The processing flow of the first embodiment will be briefly explained below.

[0052] Step 1: The venue suggestion unit suggests venues based on the number of people and budget of the couple. For example, if a couple inputs criteria such as "50 people, budget of 1 million yen or less," the generation AI will list venues that meet those criteria and suggest them to the couple. It will also automatically make reservations for the selected venue. Step 2: The invitation creation unit creates invitations and seating charts. For example, if a couple inputs the content of the invitation, the generation AI will generate a beautifully designed invitation based on that content. Also, by simply inputting the guest list, the generation AI will create the optimal seating chart. Furthermore, the generation AI will also create a speech manuscript based on the couple's requests. Step 3: The venue design team coordinates the venue design. For example, if the couple inputs their desired theme and color scheme, the image generation AI will suggest a venue design based on that information. Furthermore, it will automatically order the necessary accessories (tablecloths, decorations, etc.) based on the proposed design. Step 4: The movie production department creates the movie. For example, if the couple provides photos and video clips, the video generation AI will create a moving movie based on those materials. The movie's theme and music can also be customized according to the couple's requests.

[0053] (Example 2) A wedding preparation support system according to an embodiment of the present invention uses text generation AI and image generation AI to support wedding preparations. This system suggests a venue based on the number of couples and their budget, creates invitations and seating charts, coordinates the venue design, and produces videos. This allows the wedding preparation support system to efficiently advance wedding preparations and reduce the financial and labor burden on couples.

[0054] A wedding preparation support system according to an embodiment includes a venue suggestion unit, an invitation creation unit, a venue design unit, and a movie production unit. The venue suggestion unit suggests a venue based on the couple's number of guests and budget. For example, if a couple inputs criteria such as "50 people, budget within 1 million yen," the generation AI lists venues that meet those criteria and suggests them to the couple. The venue suggestion unit also automatically reserves the selected venue. The invitation creation unit creates invitations and seating charts. For example, if a couple inputs the contents of an invitation, the generation AI generates a beautifully designed invitation based on that content. Furthermore, when creating a seating chart, the generation AI creates an optimal seating chart simply by inputting a guest list. The generation AI also creates speech manuscripts based on the couple's requests. The venue design unit coordinates the design of the venue. For example, if a couple inputs their desired theme and color scheme, the image generation AI proposes a venue design based on that information. Furthermore, necessary accessories (tablecloths, decorations, etc.) are automatically ordered based on the proposed design. The movie production unit produces a movie. For example, when a couple provides photos and video clips, the video generation AI creates an inspiring movie based on those materials. The movie's theme and music can also be customized according to the couple's requests. This allows the wedding preparation support system according to the embodiment to efficiently advance wedding preparations and reduce the financial and labor burden on couples. For example, it can automate many of the tasks required for wedding preparations, such as selecting and reserving a venue, creating invitations, coordinating the venue design, and creating a movie. This allows couples to devote more time to other important preparations and private time.

[0055] The venue suggestion unit can automatically collect past user reviews and ratings and reflect them in the proposals. For example, the venue suggestion unit automatically collects past user reviews and ratings for venues proposed by the generation AI and reflects them in the proposals. For example, it analyzes rating data from review sites and social media and incorporates the venue's rating points into the proposal. The venue suggestion unit also collects reviews and ratings for the proposed venue, and the generation AI presents the couple with the advantages and disadvantages of the venue based on that data. For example, it highlights points that past users gave high ratings to. The venue suggestion unit also collects past user reviews and ratings, and the generation AI customizes the venue suggestions based on that data. For example, if a particular venue has a low rating, it will suggest an alternative venue. This makes the venue suggestions more reliable.

[0056] The venue suggestion unit can make personalized suggestions based on the couple's hobbies and lifestyle. In the venue suggestion unit, the generation AI makes personalized venue suggestions based on the couple's hobbies and lifestyle, for example. For example, for a couple who loves the outdoors, it would suggest a venue rich in nature. The venue suggestion unit also collects lifestyle data on the couple, and the generation AI suggests the most suitable venue based on that data. For example, for a couple who prefers city life, it would suggest an urban venue. The venue suggestion unit also inputs information about the couple's hobbies and lifestyle, and the generation AI customizes the venue suggestions based on that data. For example, for a couple who love music, it would suggest a venue that allows live performances. This makes it possible to suggest venues that meet the individual needs of each couple.

[0057] The venue suggestion unit can use the emotion estimation function to analyze the emotional state of the couple and suggest a venue that will elicit the most positive response. For example, the venue suggestion unit uses the emotion estimation function to analyze the emotional state of the couple in real time and suggest a venue that will elicit the most positive response. For example, it analyzes the couple's facial expressions and voice and calculates an emotion score. The venue suggestion unit also analyzes the couple's emotional state, and the generation AI suggests the most suitable venue based on that data. For example, it prioritizes suggesting venues with strong positive emotions. The venue suggestion unit also uses the emotion estimation function to monitor the couple's emotional state and builds a system that suggests a venue that will elicit the most positive response. For example, it adjusts the proposal content according to changes in the couple's emotions. This makes it possible to suggest the most suitable venue based on the couple's emotions.

[0058] The venue suggestion unit can automatically arrange transportation and accommodation in addition to proposing and booking venues. For example, the venue suggestion unit will build a system in which the generation AI automatically arranges transportation and accommodation in addition to proposing and booking venues. For example, it will suggest transportation to the venue and nearby accommodation. Furthermore, the venue suggestion unit will automatically arrange transportation and accommodation in addition to proposing and booking venues. For example, it will arrange transportation and accommodation for guests all at once. Furthermore, the venue suggestion unit will develop a system in which the generation AI automatically arranges transportation and accommodation in addition to proposing and booking venues. For example, it will arrange transportation and accommodation at the same time as booking the venue. This will allow transportation and accommodation to be arranged all at once in addition to proposing and booking venues.

[0059] The venue suggestion unit can create a virtual tour of the proposed venue, allowing couples to tour the venue online. For example, the venue suggestion unit builds a system in which a generation AI creates a virtual tour of the proposed venue, allowing couples to tour the venue online. For example, a virtual tour using a 360-degree camera is provided. The venue suggestion unit also creates a virtual tour of the proposed venue, allowing couples to tour the venue online. For example, details of the interior and exterior of the venue are confirmed on the virtual tour. The venue suggestion unit also develops a system in which a generation AI creates a virtual tour of the proposed venue, allowing couples to tour the venue online. For example, a tour using virtual reality (VR) technology is provided. This allows couples to tour the venue online, saving time and effort.

[0060] The venue suggestion unit uses the emotion estimation function to monitor changes in a couple's emotions in real time when choosing a venue, and can make optimal suggestions. For example, the venue suggestion unit uses the emotion estimation function to build a system that monitors changes in a couple's emotions in real time when choosing a venue, and makes optimal suggestions. For example, it analyzes the couple's facial expressions and voice and calculates an emotion score. The venue suggestion unit also monitors changes in a couple's emotions in real time, and the generation AI suggests optimal venues based on that data. For example, it prioritizes suggestions for venues with strong positive emotions. The venue suggestion unit also uses the emotion estimation function to develop a system that monitors changes in a couple's emotions when choosing a venue, and makes optimal suggestions. For example, it adjusts the content of suggestions according to changes in the couple's emotions. This makes it possible to suggest optimal venues according to changes in the couple's emotions.

[0061] The invitation creation unit can analyze a couple's past social media posts and photos and provide individually customized designs. For example, when the generation AI proposes designs for invitations and seating charts, the invitation creation unit analyzes a couple's past social media posts and photos and provides individually customized designs. For example, the design is created based on the couple's photos and post content. The invitation creation unit also analyzes a couple's past social media posts and photos, and the generation AI customizes the invitation and seating chart designs based on that data. For example, it proposes designs that match the couple's hobbies and preferences. The invitation creation unit also builds a system in which the generation AI analyzes a couple's past social media posts and photos and provides individually customized invitation and seating chart designs. For example, it incorporates memorable photos of the couple into the design. This makes it possible to design invitations and seating charts that meet the individual needs of couples.

[0062] The invitation creation unit can automatically incorporate the couple's shared memories and episodes when creating a speech manuscript. For example, the invitation creation unit builds a system in which the generation AI automatically incorporates the couple's shared memories and episodes when creating a speech manuscript. For example, the speech content is created based on the couple's past photos and messages. The invitation creation unit also creates a speech manuscript in which the generation AI automatically incorporates the couple's shared memories and episodes. For example, the speech reflects the couple's meeting and special moments. The invitation creation unit also develops a system in which the generation AI creates a speech manuscript in which the couple's shared memories and episodes are automatically incorporated. For example, the speech incorporates places and events that are memorable to the couple. This makes it possible to create a speech manuscript that reflects the couple's shared memories and episodes.

[0063] The invitation creation unit can use the emotion estimation function to predict the emotional impact that the content of the speech manuscript will have on the audience and propose optimal content. For example, the invitation creation unit uses the emotion estimation function to build a system that predicts the emotional impact that the content of the speech manuscript will have on the audience and proposes optimal content. For example, it analyzes the audience's emotional reactions and calculates an emotion score. The invitation creation unit also predicts the emotional impact that the content of the speech manuscript will have on the audience, and the generation AI proposes optimal content based on that data. For example, it prioritizes the proposal of speech content that has a strong positive emotion. The invitation creation unit also uses the emotion estimation function to develop a system that predicts the emotional impact that the content of the speech manuscript will have on the audience and proposes optimal content. For example, it adjusts the speech content according to changes in the audience's emotions. This makes it possible to create a speech manuscript that will move the audience.

[0064] In addition to supporting the creation of invitations and seating charts, the invitation creation unit can also create wedding programs and menus. For example, the invitation creation unit will build a system in which the generation AI not only supports the creation of invitations and seating charts, but also creates wedding programs and menus. For example, it can automatically generate them by simply entering the program contents and menu details. In addition, the invitation creation unit will develop a system in which the generation AI not only supports the creation of invitations and seating charts, but also creates wedding programs and menus. For example, it can create designs based on the program schedule and menu list. In addition, the invitation creation unit will develop a system in which the generation AI not only supports the creation of invitations and seating charts, but also creates wedding programs and menus. For example, it can automatically generate them by simply entering the program and menu contents. This will also automate the creation of wedding programs and menus.

[0065] The invitation creation unit can automatically translate the invitations and seating charts created by the generation AI into multiple languages, making them suitable for international guests. The invitation creation unit, for example, builds a system that automatically translates the invitations and seating charts created by the generation AI into multiple languages, making them suitable for international guests. For example, it translates into English, French, Chinese, etc. The invitation creation unit also automatically translates the invitations and seating charts using the generation AI, making them suitable for international guests. For example, it provides invitations and seating charts in the guest's native language. The invitation creation unit also develops a system that automatically translates the invitations and seating charts created by the generation AI into multiple languages, making them suitable for international guests. For example, it sends the translated invitations and seating charts to the guests. This makes it possible to create invitations and seating charts that are suitable for international guests.

[0066] The invitation creation unit can use the emotion estimation function to collect guests' emotional reactions to the invitation and seating chart designs and select the optimal design. For example, the invitation creation unit uses the emotion estimation function to collect guests' emotional reactions to the invitation and seating chart designs and build a system that selects the optimal design. For example, it analyzes the guests' facial expressions and voices and calculates an emotion score. The invitation creation unit also collects guests' emotional reactions to the invitation and seating chart designs, and the generation AI selects the optimal design based on that data. For example, it prioritizes the adoption of designs that evoke strong positive emotions. The invitation creation unit also uses the emotion estimation function to collect guests' emotional reactions to the invitation and seating chart designs and develops a system that selects the optimal design. For example, it adjusts the design according to changes in the guests' emotions. This makes it possible to create invitations and seating charts with optimal designs based on the guests' emotional reactions.

[0067] The venue design department can analyze photos and videos of past weddings and provide designs that reflect trends. For example, when image generation AI proposes a venue design, the venue design department will build a system that analyzes photos and videos of past weddings and provides designs that reflect trends. For example, popular design elements will be incorporated. The venue design department will also analyze photos and videos of past weddings and, based on that data, the image generation AI will propose venue designs that reflect trends. For example, proposals will be made that incorporate the latest design trends. The venue design department will also develop a system that analyzes photos and videos of past weddings and provides venue designs that reflect trends. For example, popular decorations and layouts will be reflected in proposals. This will enable venue designs that reflect trends to be provided.

[0068] The venue design department can propose custom-made accessories that match the couple's preferences when ordering accessories. For example, the venue design department will build a system in which, when ordering accessories, an image generation AI will propose custom-made accessories that match the couple's preferences. For example, it will design accessories that match the couple's preferences and theme. The venue design department will also propose custom-made accessories that match the couple's preferences using an image generation AI, and place an order based on that design. For example, it will propose accessories that incorporate the couple's desired colors and designs. The venue design department will also develop a system in which, when ordering accessories, an image generation AI will propose custom-made accessories that match the couple's preferences. For example, it will design accessories that match the couple's theme and style. This will allow it to propose custom-made accessories that match the couple's preferences.

[0069] The venue design department can use the emotion estimation function to analyze the emotional state of couples and propose designs that will elicit the most positive response. For example, the venue design department will use the emotion estimation function to build a system that analyzes the emotional state of couples in real time and proposes designs that will elicit the most positive response. For example, it will analyze the couple's facial expressions and voice and calculate an emotion score. The venue design department will also analyze the couple's emotional state and use image generation AI to propose the optimal venue design based on that data. For example, it will prioritize designs that evoke strong positive emotions. The venue design department will also use the emotion estimation function to develop a system that monitors the couple's emotional state and proposes designs that will elicit the most positive response. For example, it will adjust the design according to the couple's emotional changes. This will allow it to propose the optimal venue design based on the couple's emotions.

[0070] In addition to coordinating the venue design, the venue design department can also suggest outfits and accessories that match the wedding theme. For example, the venue design department will build a system in which image generation AI will not only coordinate the venue design but also suggest outfits and accessories that match the wedding theme. For example, it will suggest dresses and accessories that match the theme. Furthermore, the venue design department will not only coordinate the venue design but also suggest outfits and accessories that match the wedding theme. For example, it will design outfits that match the theme desired by the couple. Furthermore, the venue design department will not only coordinate the venue design but also develop a system in which image generation AI will not only suggest outfits and accessories that match the wedding theme. For example, it will suggest accessories that match the theme. This will make it possible to suggest outfits and accessories that match the wedding theme.

[0071] The venue design department can enable couples to experience designs proposed by the image generation AI in virtual reality (VR). For example, the venue design department builds a system that enables couples to experience designs proposed by the image generation AI in virtual reality (VR). For example, the venue design is experienced using a VR headset. The venue design department also enables couples to experience the proposed venue design in virtual reality (VR). For example, VR technology is used to check the interior and exterior of the venue through a virtual tour. The venue design department also develops a system that enables couples to experience designs proposed by the image generation AI in virtual reality (VR). For example, VR technology is used to realistically reproduce the venue design. This allows couples to experience the venue design in virtual reality.

[0072] The venue design department can use the emotion estimation function to collect guests' emotional reactions to venue designs and select the optimal design. For example, the venue design department uses the emotion estimation function to collect guests' emotional reactions to venue designs and build a system to select the optimal design. For example, it analyzes guests' facial expressions and voices and calculates an emotion score. The venue design department also collects guests' emotional reactions to venue designs and uses that data to select the optimal design using image generation AI. For example, it prioritizes the adoption of designs that evoke strong positive emotions. The venue design department also uses the emotion estimation function to collect guests' emotional reactions to venue designs and develops a system to select the optimal design. For example, it adjusts the design according to changes in guests' emotions. This makes it possible to select the optimal venue design based on guests' emotional reactions.

[0073] The movie production department can incorporate couples' favorite music and movie scenes. For example, the movie production department will build a system in which the generation AI will incorporate couples' favorite music and movie scenes when producing a movie. For example, the couple's favorite song will be used as background music. The movie production department will also create a movie in which the generation AI will incorporate couples' favorite music and movie scenes. For example, songs and movie scenes that are memorable to the couple will be incorporated into the movie. The movie production department will also develop a system in which the generation AI will incorporate couples' favorite music and movie scenes when producing a movie. For example, music and scenes will be selected according to the couple's requests. This will allow movies to be created that are tailored to the couple's preferences.

[0074] The movie production department can use the emotion estimation function to predict the emotional impact that the content of a movie will have on the viewer and suggest the most appropriate content. For example, the movie production department uses the emotion estimation function to build a system that predicts the emotional impact that the content of a movie will have on the viewer and suggests the most appropriate content. For example, it analyzes the viewer's facial expressions and voice and calculates an emotion score. The movie production department also predicts the emotional impact that the content of a movie will have on the viewer, and based on that data, the video generation AI suggests the most appropriate content. For example, it prioritizes suggesting scenes with strong positive emotions. The movie production department also uses the emotion estimation function to develop a system that predicts the emotional impact that the content of a movie will have on the viewer and suggests the most appropriate content. For example, it adjusts the movie content according to changes in the viewer's emotions. This makes it possible to create movies that move viewers.

[0075] In addition to producing movies, the movie production department can also provide live streaming and recording services for weddings. For example, the movie production department will build a system where video generation AI will provide live streaming and recording services for weddings in addition to producing movies. For example, it will automatically live stream weddings. The movie production department will also develop a system where video generation AI will provide live streaming and recording services for weddings in addition to producing movies. For example, it will record important scenes from the wedding so that they can be viewed later. In addition to producing movies, the movie production department will develop a system where video generation AI will provide live streaming and recording services for weddings in addition to producing movies. For example, it will perform live streaming and recording simultaneously. This will allow it to provide live streaming and recording services for weddings.

[0076] The movie production department can provide movies created by the video generation AI in multiple formats (for example, short videos and slideshows) to encourage sharing on social media. The movie production department, for example, builds a system that provides movies created by the video generation AI in multiple formats (for example, short videos and slideshows) to encourage sharing on social media. For example, it automatically generates short videos. The movie production department also provides the created movies in multiple formats to encourage sharing on social media. For example, it creates movies in slideshow format and shares them on social media. The movie production department also develops a system that provides movies created by the video generation AI in multiple formats to encourage sharing on social media. For example, it automatically generates short videos and slideshows and shares them on social media. This makes it possible to provide movies in multiple formats to encourage sharing on social media.

[0077] The movie production department can use the emotion estimation function to monitor viewers' emotional reactions to a movie in real time and perform optimal editing. For example, the movie production department uses the emotion estimation function to build a system that monitors viewers' emotional reactions to a movie in real time and performs optimal editing. For example, it analyzes viewers' facial expressions and voices and calculates an emotion score. The movie production department also monitors viewers' emotional reactions to a movie in real time, and the video generation AI performs optimal editing based on that data. For example, it prioritizes editing scenes with strong positive emotions. The movie production department also uses the emotion estimation function to develop a system that monitors viewers' emotional reactions to a movie in real time and performs optimal editing. For example, it adjusts the content of the movie according to changes in viewers' emotions. This enables optimal editing based on the viewers' emotional reactions.

[0078] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0079] The venue suggestion unit can make personalized suggestions based on the couple's hobbies and lifestyle. For example, it can suggest a venue surrounded by nature to a couple who loves the outdoors. It can also suggest an urban venue to a couple who prefers city life. It can also suggest a venue that allows live music to a couple who loves music. This makes it possible to suggest venues that meet the individual needs of each couple.

[0080] The venue suggestion unit uses the emotion estimation function to analyze the couple's emotional state and suggest a venue that will elicit the most positive response. For example, it can analyze the couple's facial expressions and voice to calculate an emotion score. It can also analyze the couple's emotional state and suggest the most suitable venue based on that data. It can also adjust the proposal content according to changes in the couple's emotions. This makes it possible to suggest the most suitable venue based on the couple's emotions.

[0081] The invitation creation unit can analyze a couple's past social media posts and photos to provide individually customized designs. For example, it can create a design based on the couple's photos and posts. It can also suggest designs that match the couple's hobbies and preferences. It can also incorporate memorable photos of the couple into the design. This makes it possible to design invitations and seating charts that meet the individual needs of each couple.

[0082] The invitation creation unit can use the emotion estimation function to predict the emotional impact that the content of the speech manuscript will have on the audience and propose the optimal content. For example, it can analyze the audience's emotional reactions and calculate an emotion score. It can also predict the emotional impact that the content of the speech manuscript will have on the audience and propose the optimal content based on that data. It can also adjust the speech content according to changes in the audience's emotions. This makes it possible to create a speech manuscript that will move the audience.

[0083] The venue design department can analyze photos and videos of past weddings to provide designs that reflect current trends. For example, they can incorporate popular design elements. They can also make proposals that incorporate the latest design trends. They can also incorporate popular decorations and layouts into their proposals. This allows them to provide venue designs that reflect current trends.

[0084] The venue design department can use the emotion estimation function to analyze the couple's emotional state and propose a design that will elicit the most positive response. For example, it can analyze the couple's facial expressions and voice to calculate an emotion score. It can also analyze the couple's emotional state and propose the optimal venue design based on that data. It can also adjust the design according to the couple's emotional changes. This makes it possible to propose the optimal venue design based on the couple's emotions.

[0085] The movie production department can incorporate couples' favorite music and movie scenes. For example, the couple's favorite song can be used as background music. It can also incorporate songs and movie scenes that are memorable to the couple into the movie. It can also select music and scenes according to the couple's requests. This allows movies to be created that are tailored to the couple's preferences.

[0086] The movie production department can use the emotion estimation function to predict the emotional impact that the content of a movie will have on the viewer and suggest the most appropriate content. For example, it can analyze the viewer's facial expressions and voice and calculate an emotion score. It can also predict the emotional impact that the content of a movie will have on the viewer and suggest the most appropriate content based on that data. It can also adjust the movie content according to changes in the viewer's emotions. This makes it possible to create movies that move the viewer.

[0087] In addition to producing movies, the Movie Production Department can also provide live streaming and recording services for weddings. For example, it can automatically live stream weddings. It can also record important scenes from weddings and make them available for later viewing. It can also simultaneously live stream and record. This allows it to provide live streaming and recording services for weddings.

[0088] The movie production department can use the emotion estimation function to monitor viewers' emotional reactions to a movie in real time and perform optimal editing. For example, it can analyze the viewer's facial expressions and voice and calculate an emotion score. It can also monitor viewers' emotional reactions to a movie in real time and perform optimal editing based on that data. It can also adjust the content of the movie according to changes in viewers' emotions. This makes it possible to perform optimal editing based on the viewer's emotional reactions.

[0089] The processing flow of the second embodiment will be briefly explained below.

[0090] Step 1: The venue suggestion unit suggests venues based on the number of people and budget of the couple. For example, if a couple inputs criteria such as "50 people, budget of 1 million yen or less," the generation AI will list venues that meet those criteria and suggest them to the couple. It will also automatically make reservations for the selected venue. Step 2: The invitation creation unit creates invitations and seating charts. For example, if a couple inputs the content of the invitation, the generation AI will generate a beautifully designed invitation based on that content. Also, by simply inputting the guest list, the generation AI will create the optimal seating chart. Furthermore, the generation AI will also create a speech manuscript based on the couple's requests. Step 3: The venue design team coordinates the venue design. For example, if the couple inputs their desired theme and color scheme, the image generation AI will suggest a venue design based on that information. Furthermore, it will automatically order the necessary accessories (tablecloths, decorations, etc.) based on the proposed design. Step 4: The movie production department creates the movie. For example, if the couple provides photos and video clips, the video generation AI will create a moving movie based on those materials. The movie's theme and music can also be customized according to the couple's requests.

[0091] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0092] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> Examples of generative AIs include the data generation model 58, such as a neural network model (e.g., a neural network model), and a neural network model (e.g., a neural network model). The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating speech, text data indicating text, and image data indicating an image is also input to the data generation model 58. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specification processing unit 290 performs the above-mentioned specification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0093] Furthermore, the processing by the data processing system 10 described above is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart device 14 or an external device, and the smart device 14 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0094] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0095] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0096] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0097] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0098] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0099] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0100] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0101] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0102] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0103] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0104] In the smart glasses 214, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. The smart glasses 214 also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0105] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0106] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0107] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0108] The data processing system 210 according to the second embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 210 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the smart glasses 214 or an external device, etc., and the smart glasses 214 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0109] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0110] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0111] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0112] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0113] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0114] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0115] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0116] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0117] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0118] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0119] In the headset type terminal 314, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the headset type terminal 314 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0120] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0121] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0122] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0123] The data processing system 310 according to the third embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 310 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset type terminal 314, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset type terminal 314. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the headset type terminal 314 or an external device, etc., and the headset type terminal 314 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0124] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0125] 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0126] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0127] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[0128] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0129] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS image sensor or a CCD image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0130] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0131] The control object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[0132] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0133] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0134] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0135] In the robot 414, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. The robot 414 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0136] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0137] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[0138] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0139] The data processing system 410 according to the fourth embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 410 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the robot 414 or an external device, etc., and the robot 414 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0140] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0141] FIG. 9 illustrates an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and behaviors arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion encompasses both emotions and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[0142] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[0143] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[0144] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. Emotions can also be created for robots, cars, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on speech emotion recognition and brain physiological signal analysis systems for emotions, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the area called "reaction," where sensation is dominant. The right half of the emotion map lists emotions belonging to the area called "situation," where situational awareness is dominant.

[0145] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[0146] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[0147] In the above embodiment, an example was given in which a specific process is performed by one computer 22, but the technology disclosed herein is not limited to this, and distributed processing of the specific process may be performed by multiple computers including computer 22.

[0148] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[0149] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[0150] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[0151] The hardware resource for executing a specific process can be any of the following types of processors: A processor, for example, is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. A processor also includes a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[0152] The hardware resource that executes the specific process may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific process may be a single processor.

[0153] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[0154] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[0155] In the above example, the first to fourth embodiments have been described separately, but some or all of these embodiments may be combined. The smart device 14, smart glasses 214, headset terminal 314, and robot 414 are merely examples, and they may be combined, or other devices may be used. In the above example, the first and second embodiments have been described separately, but they may be combined.

[0156] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[0157] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference. [Explanation of symbols]

[0158] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot

Claims

1. The venue proposal department will suggest venues based on the number of couples and their budget. An invitation creation department that creates invitations and seating charts, The venue design department coordinates the venue design, a movie production unit that produces a movie; A system characterized by:

2. The venue proposal unit Automatically collect past user reviews and ratings and reflect them in suggestions 2. The system of claim 1.

3. The venue proposal unit Make personalized recommendations based on the couple's interests and lifestyle 2. The system of claim 1.

4. The venue proposal unit Analyze the couple's emotional state and suggest a venue that will elicit the most positive response 2. The system of claim 1.

5. The venue proposal unit In addition to suggesting and booking the venue, it also automatically arranges transportation and accommodation.

2. The system of claim 1.

6. The venue proposal unit Create a virtual tour of the proposed venue and allow the couple to tour the venue online 2. The system of claim 1.

7. The venue proposal unit Monitor the couple's emotional changes in real time when selecting a venue and make optimal suggestions 2. The system of claim 1.

8. The invitation creation unit Analyze the couple's past social media posts and photos to provide individually customized designs 2. The system of claim 1.

Images