Student personalized application consultation management system and method based on artificial intelligence

Abstract

The invention relates to the technical field of education service management, and discloses a student personalized application consultation management system and method based on artificial intelligence, and the system comprises a volunteer filling type analysis module, a volunteer filling instructor matching module, and a volunteer filling appointment management module. The service ranking and service charging information of the volunteer is efficiently retrieved on the volunteer consultation platform based on the identity information of the target volunteer, and the volunteer consultation ability of the volunteer is digitally evaluated. According to the identity information, the service ranking information and the service charging information of the volunteer, a student volunteer information search result is visually and scientifically displayed in combination with a touch display screen, the identity information of the volunteer selected by the student is accurately obtained, and the student can select the volunteer in a customized manner. And the satisfaction degree and the quality of student voluntary reporting consultation are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of education service management, and in particular to a personalized student application consultation management system and method based on artificial intelligence. Background Art

[0002] Candidates' wishes refer to the colleges and majors selected by candidates, which is a comprehensive reflection of candidates' ambitions, wishes, hobbies, personality and abilities. Filling out wishes is actually a "two-way choice" between candidates and colleges: on the one hand, candidates express their wishes by filling out wishes, that is, what kind of colleges they yearn for and what majors they like; on the other hand, ordinary colleges and universities use the wishes filled out by candidates as the basic basis for their admission, and select qualified freshmen from a large number of applicants; the process of filling out candidates' wishes can only be done by reading the application guide or asking teachers for volunteer application consultation. The current candidate application analysis software searches for suitable schools and majors for candidates based on the candidates' college entrance examination scores, interests and hobbies combined with the historical admission information of colleges and universities. However, the candidate application is a multi-dimensional and complex system engineering. Simple data analysis cannot provide candidates with scientific and constructive volunteer application suggestion information. The existing application consultation management platform cannot screen suitable volunteer application guidance personnel for candidates, nor can it accurately book volunteer application consultation time for candidates.

[0003] The Chinese invention patent application with publication number CN118521440A discloses an artificial intelligence-based enrollment major selection method and system, which conducts a two-stage student enrollment major selection based on the basic personal information of the student, the family situation of the student, and the professional characteristics and enrollment situation of each college major. It realizes which college major is most suitable for application based on personal wishes, personal situation and family situation, and efficiently matches the college major options suitable for students for students to choose; however, the above technical solution can only screen schools and majors for students based on simple data analysis based on student grades, personal and family situations combined with efficient historical admission data, and cannot provide students with scientific and constructive volunteer application suggestion information. Summary of the invention

[0004] 1. Technical issues to be solved

[0005] In order to solve the problem that the above-mentioned existing application consultation management platform cannot screen suitable volunteer application guidance personnel for candidates, nor can it accurately make appointments for candidates for volunteer application consultation time, the above purpose of online collection of student volunteer application consultation information, accurate analysis of student volunteer application guidance types, scientific search of target volunteer application guidance personnel, efficient search of volunteer application guidance personnel's volunteer application service ranking information and volunteer application guidance personnel's volunteer application service fee information, intuitive output of target volunteer application guidance personnel's search result information, online collection of student required volunteer application guidance personnel information, and independent and efficient appointment of volunteer application consultation time is achieved.

[0006] (II) Technical solution

[0007] The present invention is implemented by the following technical scheme: a personalized student application consultation management method based on artificial intelligence, the method comprising the following steps:

[0008] S1. Collect student volunteer application consultation text data;

[0009] S2, analyzing and processing the volunteer application guidance type required by the student based on the student volunteer application consultation text data and the characteristic keyword data of different volunteer application guidance types, and generating student volunteer application guidance type analysis data;

[0010] S3, based on the student volunteer filling guidance type analysis data, perform a search process for the identity information of the volunteer filling guidance personnel of the specific volunteer filling guidance type, and generate the identity text data of the target volunteer filling guidance personnel;

[0011] S4, searching and processing the service ranking information and service charge information of the volunteer filling guidance personnel according to the identity text data of the target volunteer filling guidance personnel, and generating the volunteer filling guidance personnel service ranking data and the volunteer filling guidance personnel service charge data;

[0012] S5. Outputting the search results of target volunteer filling instructors according to the identity information, service ranking information and service fee information of the volunteer filling instructors, and collecting the identity text data of the volunteer filling instructors selected by the students;

[0013] S6, performing a consultation time parameter search process of the student-selected volunteer application instructor based on the identity text data of the student-selected volunteer application instructor and the volunteer application instructor's volunteer application consultation time data, generating and outputting the student-selected volunteer application instructor's consultation time data, and collecting the student's volunteer application consultation confirmation time data;

[0014] S7. Execute the volunteer application consultation appointment task based on the student volunteer application consultation time data.

[0015] Preferably, the operation steps of collecting student volunteer application consultation text data are as follows:

[0016] S11. Input the student's text information about the volunteer application consultation content online through the data collection dialog box of the volunteer application consultation platform, and generate student volunteer application consultation text data I, wherein the student volunteer application consultation text data includes text data of the applied colleges, text data of the applied majors, and text data of the volunteer application process. The volunteer application consultation platform includes any one of Youzhiyuan, Palm College Entrance Examination, Fengxue Weilai, Baidu College Entrance Examination, and Tsinghua Ziyu.

[0017] Preferably, the steps of analyzing and processing the volunteer application guidance type required by the student based on the student volunteer application consultation text data and the characteristic keyword data of different volunteer application guidance types to generate the student volunteer application guidance type analysis data are as follows:

[0018] S21. Establishing a data set of characteristic keywords of different volunteer application guidance types A=(a 1 ,…,a m ,…,a α ), m=1,2,3,…,α; where a m represents the characteristic keyword data of different volunteer filling guidance types corresponding to the mth volunteer filling guidance type, α represents the maximum number of volunteer filling guidance types; the volunteer filling guidance types include parallel volunteer filling guidance types, sequential volunteer filling guidance types, college major guidance types and professional school guidance types; the characteristic keyword data of different volunteer filling guidance types represent the volunteer filling consultation text keyword information corresponding to different volunteer filling guidance types;

[0019] S22, compare the student volunteer application consultation text data I with the different volunteer application guidance type characteristic keyword data a in the different volunteer application guidance type characteristic keyword data set A. m Perform volunteer application keyword matching to search for the different volunteer application guidance type feature keyword data a that matches the student volunteer application consultation text data I m The corresponding volunteer application guidance type text information is constructed to construct the student volunteer application guidance type analysis data A leixing , execute the construction of the student volunteer filling guidance type analysis data A leixing The specific steps are as follows:

[0020] S221, initializing parameters and updating the maximum number of iterations T of the algorithm;

[0021] S222, initializing the volunteer application guidance type to identify the position of the seagull population in the search space of the characteristic keyword data set A of the different volunteer application guidance types;

[0022] S223, according to the volunteer application keyword matching, calculate all the different volunteer application guidance type characteristic keyword data a in the different volunteer application guidance type characteristic keyword data set A. m and the fitness value of the student volunteer filling consultation text data I, and retain the different volunteer filling guidance type characteristic keyword data a with the largest fitness value with the student volunteer filling consultation text data I in the search space of the different volunteer filling guidance type characteristic keyword data set A m The global optimal position of

[0023] S224, migration, global search: There are three main steps in the migration behavior of seagulls identified by volunteer application guidance types. The first is to meet the condition of avoiding collision between seagulls identified by different volunteer application guidance types in the search space of the characteristic keyword data set A of the different volunteer application guidance types; the second is to calculate the different volunteer application guidance type characteristic keyword data a that matches the student volunteer application consultation text data I in the search space of the characteristic keyword data set A of the different volunteer application guidance types according to the volunteer application keyword matching; m The best position direction; third, according to the student volunteer filling consultation text data I best matches the different volunteer filling guidance type feature keyword data a m Move the direction of the best position to a new position;

[0024] S2241, calculate the new position V'(t) of the volunteer application guidance type identification seagull in the search space of the different volunteer application guidance type feature keyword data sets A without colliding with the adjacent volunteer application guidance type identification seagull; V'(t) = ∫ × V(t), Where V(t) represents the current position of the seagull for volunteer application guidance type identification in the search space of the characteristic keyword data set A of the different volunteer application guidance types, t represents the current iteration number; ∫ represents the movement behavior of the seagull for volunteer application guidance type identification in the search space of the characteristic keyword data set A of the different volunteer application guidance types; represents the function that controls the frequency of change of ∫, and T represents the maximum number of iterations;

[0025] S2242, according to the volunteer application keyword matching calculation, the different volunteer application guidance type characteristic keyword data a that matches the student volunteer application consultation text data I in the search space of the different volunteer application guidance type characteristic keyword data set A. m The optimal position direction K(t); Where V best(t) represents the search space of the characteristic keyword data set A of the different volunteer filling guidance types, and searches out the characteristic keyword data a of the different volunteer filling guidance types that matches the student volunteer filling consultation text data I according to the volunteer filling keyword matching. m The current best position of, V(t) represents the current position of the volunteer application guidance type identification seagull in the search space of the characteristic keyword data set A of the different volunteer application guidance types; Λ represents a random number that balances the global and local search capabilities, Represents a random number in the interval [0,1];

[0026] S2243, searching the space for the characteristic keyword data set A of the different volunteer application guidance types that best matches the student volunteer application consultation text data I for the characteristic keyword data set A of the different volunteer application guidance types. m The direction of the best position moves to the new position P(t), P(t) = |V'(t) + K(t)|;

[0027] S225, attack prey, local search, volunteer application guidance type identification seagull attacks the different volunteer application guidance type characteristic keyword data a that matches the student volunteer application consultation text data I in the search space of the different volunteer application guidance type characteristic keyword data set A. m When hunting prey, the prey performs spiral motion in the air, identifying the attack type of seagulls and describing the different characteristics of the prey. m The new position after the prey is F'(t), F'(t) = F(t) + Z best (t);

[0028] S226: Determine whether the maximum number of iterations is met, and then output the characteristic keyword data a of the different volunteer application guidance types that best matches the student volunteer application consultation text data I. m ; If not satisfied, return to step S223;

[0029] S227, the characteristic keyword data a of the different volunteer application guidance types that best matches the student volunteer application consultation text data I outputted in step S226 m The corresponding volunteer application guidance type text information is constructed to construct the student volunteer application guidance type analysis data A leixing .

[0030] Preferably, based on the student volunteer filling guidance type analysis data, the identity information search process of the volunteer filling guidance personnel of the specific volunteer filling guidance type is performed to generate the identity text data of the target volunteer filling guidance personnel as follows:

[0031] S31, using the KD tree nearest neighbor search algorithm to analyze the data A according to the student volunteer application guidance type leixing Corresponding volunteer application guidance type text information, search for the student volunteer application guidance type analysis data A on the volunteer application consultation platform leixing The matching volunteer filling guidance personnel's volunteer filling resume identity information, and generate the target volunteer filling guidance personnel identity text data set B = (b 1 ,…,b n ,…,b β ), n=1,2,3,…,β; where b n represents the identity text data of the target volunteer filling guidance personnel corresponding to the nth volunteer filling guidance personnel, and β represents the maximum number of volunteer filling guidance personnel; the identity text data of the target volunteer filling guidance personnel includes the volunteer filling guidance personnel's name identity text data, volunteer filling work experience identity text data, age identity text data, and volunteer filling expertise field identity text data.

[0032] Preferably, the steps of searching and processing the service ranking information and service charge information of the volunteer filling guidance personnel based on the identity text data of the target volunteer filling guidance personnel, and generating the volunteer filling guidance personnel service ranking data and volunteer filling guidance personnel service charge data are as follows:

[0033] S41, calling the target volunteer filling guidance personnel identity text data set B;

[0034] S42, using a unified cost search algorithm based on the target volunteer filling guidance personnel identity text data set B n Search the service ranking information of the target volunteer filling guidance personnel on the volunteer filling consultation platform, and generate the volunteer filling guidance personnel service ranking data set B'=(b' 1 ,…,b' n ,…,b' β ), where b' n Indicates the volunteer filling guidance personnel service ranking data corresponding to the n-th volunteer filling guidance personnel, and the volunteer filling guidance personnel service ranking data indicates the volunteer filling guidance service ranking data of the volunteer filling guidance personnel on the volunteer filling consultation platform;

[0035] Similarly, a unified cost search algorithm is used to obtain the target volunteer filling guidance personnel identity text data set B according to the target volunteer filling guidance personnel identity text data set B. n Search the service fee information of the target volunteer filling guidance personnel on the volunteer filling consultation platform, and generate the volunteer filling guidance personnel service fee data set B" = (b" 1 ,…,b”n ,…,b″ β ), where b” n represents the volunteer filling guidance service fee data corresponding to the nth volunteer filling guidance staff, and the volunteer filling guidance service fee data represents the volunteer filling guidance service fee information of the volunteer filling guidance staff on the volunteer filling consultation platform, b" n The unit is yuan per minute.

[0036] Preferably, the steps of outputting the search results of the target volunteer filling instructor according to the identity information, service ranking information and service charge information of the volunteer filling instructor and collecting the identity text data of the volunteer filling instructor selected by the student are as follows:

[0037] S51, respectively, the target volunteer filling guidance personnel identity text data set B 1 To b β Convert the target volunteer filling guidance personnel identity text data b 1 To b β The virtual menu is arranged in horizontal rows, and the volunteer filling guidance personnel service ranking data set B' of the volunteer filling guidance personnel service ranking data set B' is arranged in horizontal rows. 1 to b' β Transform the volunteer guidance personnel service ranking data b' 1 to b' β The virtual menu and the target volunteer guide identity text data b are filled in horizontally 1 To b β Directly below, the volunteer filling guidance personnel service fee data b″ in the volunteer filling guidance personnel service fee data set B″ are arranged in parallel according to the number of volunteer filling guidance personnel. 1 to b″ β Convert the service fee data of the volunteer guidance personnel b″ 1 to b″ β Virtual menu and follow the horizontal rows in the volunteer guidance staff service ranking data b' 1 to b' β Directly below, the number of volunteer filling guidance personnel is aligned in parallel; the identity text data of the target volunteer filling guidance personnel is arranged to complete the arrangement b 1 To b β Virtual menu, the volunteer filling guidance personnel service ranking data b' 1 to b' β Virtual menu and the volunteer guidance service charge data b″ 1 to b″ β The virtual menu is output via the touch display;

[0038] S52, the student outputs the target volunteer filling guidance personnel identity text data b based on the touch screen display 1 To b β Virtual menu, the volunteer filling guidance personnel service ranking data b' 1 to b' β Virtual menu, service charge data of volunteer filling guidance personnel b″ 1 to b″ β The user can select the target volunteer filling instructor identity text data by clicking on the virtual menu on the touch screen, and generate the student selected volunteer filling instructor identity text data b through data identification. xuanding .

[0039] Preferably, the consultation time parameter search processing of the student selected volunteer filling guidance personnel is performed based on the identity text data of the student selected volunteer filling guidance personnel and the volunteer filling guidance personnel's volunteer filling consultation time data, and the student selected volunteer filling guidance personnel's consultation time data is generated and output. The operation steps for collecting the student volunteer filling consultation confirmation time data are as follows:

[0040] S61. Establish volunteer application guidance personnel volunteer application consultation time data set C = (c 1 ,…,c n ,…,c β ), where c n Indicates the volunteer application consultation time data of the volunteer application guidance personnel corresponding to the nth volunteer application guidance personnel, wherein the volunteer application consultation time data of the volunteer application guidance personnel includes the volunteer application consultation time period that has been scheduled and the volunteer application consultation time period that has not been scheduled, wherein the time period is in units of year, month, day, hour and minute;

[0041] S62, the identity text data b of the student's selected volunteer filling instructor xuanding The volunteer filling guidance personnel volunteer filling consultation time data set C of the volunteer filling guidance personnel volunteer filling consultation time data c n According to the number character matching of the volunteer filling guidance personnel, search for the identity text data of the volunteer filling guidance personnel selected by the student b xuanding The corresponding volunteer filling guidance personnel volunteer filling consultation time data c n , and generate the consultation time data c of the student's selected volunteer application instructor through data identification xuanding ;

[0042] S63, the student selected volunteer filling guidance personnel consultation time data c xuandingThe corresponding unscheduled volunteer application consultation time periods are converted into unscheduled volunteer application consultation time period virtual menus and output through the touch display screen;

[0043] S64. Students select the unscheduled volunteer application consultation time period based on the virtual menu of unscheduled volunteer application consultation time period output by the touch screen, and click on the virtual menu on the touch screen to select the unscheduled volunteer application consultation time period they need, and generate student volunteer application consultation confirmation time data O through data identification.

[0044] Preferably, the operation steps of executing the volunteer application consultation appointment task according to the student volunteer application consultation confirmation time data are as follows:

[0045] S71, the volunteer application consultation platform executes the student and the student's selected volunteer application guidance personnel identity text data b according to the time period corresponding to the student volunteer application consultation determination time data O. xuanding Make an appointment for volunteer application consultation with the corresponding volunteer application guidance staff.

[0046] An artificial intelligence-based personalized student application consultation management system, used to implement the artificial intelligence-based personalized student application consultation management method, the system includes a volunteer application type analysis module, a volunteer application guidance personnel matching module, and a volunteer application appointment management module;

[0047] The volunteer application type analysis module includes a student volunteer application consultation information collection unit, a different volunteer application guidance type feature keyword storage unit, and a student volunteer application guidance type analysis unit;

[0048] The student volunteer filling consultation information collection unit collects student volunteer filling consultation text data through the data collection dialog box of the volunteer filling consultation platform; the different volunteer filling guidance type characteristic keyword storage unit is used to store different volunteer filling guidance type characteristic keyword data; the student volunteer filling guidance type analysis unit performs volunteer filling guidance type analysis processing required by students based on the student volunteer filling consultation text data and different volunteer filling guidance type characteristic keyword data to generate student volunteer filling guidance type analysis data;

[0049] The volunteer filling guidance personnel matching module includes a volunteer filling guidance personnel identity information search unit, a volunteer filling guidance personnel volunteer filling service ranking information search unit, a volunteer filling guidance personnel volunteer filling service fee information search unit, a target volunteer filling guidance personnel search information output unit, and a student required volunteer filling guidance personnel identity information collection unit;

[0050] The volunteer filling guidance personnel identity information search unit searches for the volunteer filling guidance personnel identity information of the specific volunteer filling guidance type based on the student volunteer filling guidance type analysis data in combination with the volunteer filling consultation platform, and generates the target volunteer filling guidance personnel identity text data; the volunteer filling guidance personnel volunteer filling service ranking information search unit searches for the volunteer filling guidance personnel service ranking information based on the target volunteer filling guidance personnel identity text data in combination with the volunteer filling consultation platform, and generates the volunteer filling guidance personnel service ranking data; the volunteer filling guidance personnel volunteer filling service charge information search unit searches for the volunteer filling guidance personnel service charge information based on the target volunteer filling guidance personnel identity text data in combination with the volunteer filling consultation platform, and generates the volunteer filling guidance personnel service charge data; the target volunteer filling guidance personnel search information output unit outputs the target volunteer filling guidance personnel search results based on the volunteer filling guidance personnel identity information, service ranking information and service charge information in combination with the touch display screen; the student required volunteer filling guidance personnel identity information collection unit collects the student selected volunteer filling guidance personnel identity text data through the touch display screen;

[0051] The volunteer filling appointment management module includes a volunteer filling guidance staff volunteer filling consultation time storage unit, a student volunteer filling guidance staff volunteer filling consultation time search output unit, a student volunteer filling consultation time selection unit, and a volunteer filling consultation appointment operation execution unit;

[0052] The volunteer application guidance staff volunteer application consultation time storage unit is used to store the volunteer application guidance staff volunteer application consultation time data; the volunteer application guidance staff volunteer application consultation time search and output unit required by the student's volunteer application guidance staff performs consultation time parameter search and processing for the student's selected volunteer application guidance staff based on the student's selected volunteer application guidance staff identity text data and the volunteer application guidance staff volunteer application consultation time data, generates the student's selected volunteer application guidance staff consultation time data and outputs it in conjunction with the touch display screen; the student volunteer application consultation time selection unit collects the student's volunteer application consultation confirmed time data through the touch display screen; the volunteer application consultation appointment job execution unit, the volunteer application consultation platform executes the volunteer application consultation appointment job based on the student's volunteer application consultation confirmed time data.

[0053] (III) Beneficial effects

[0054] The present invention provides a personalized student application consultation management system and method based on artificial intelligence. It has the following beneficial effects:

[0055] 1. Accurately and conveniently collect student volunteer application consultation text information through the data collection dialog box of the volunteer application consultation platform to provide real data support for the scientific analysis of student volunteer application guidance types; conduct intelligent analysis of student volunteer application guidance types based on student volunteer application consultation text information combined with artificial intelligence recognition algorithm and scientifically preset keyword parameters of different volunteer application guidance types, to achieve personalized scientific guidance for student volunteer applications and improve the scientific nature of student volunteer application consultation management.

[0056] 2. By analyzing the parameters of the student volunteer application guidance type and combining intelligent search algorithms on the volunteer application consultation platform, the identity information of the volunteer application guidance personnel required by the students can be accurately searched, so as to accurately screen the student volunteer application guidance personnel; based on the identity information of the target volunteer application guidance personnel and combining intelligent search algorithms, the service ranking and service fee information of the volunteer application guidance personnel can be efficiently retrieved on the volunteer application consultation platform, so as to realize the digital evaluation of the volunteer application guidance personnel's volunteer application consultation ability and improve the intuitiveness of the student volunteer application consultation management; based on the identity information, service ranking information and service fee information of the volunteer application guidance personnel and combining with the touch display screen, the search results of the student volunteer application guidance personnel information are intuitively and scientifically displayed, and at the same time, the identity information of the volunteer application guidance personnel selected by the students is collected online, so that students can flexibly and customizedly choose the volunteer application guidance personnel they need, and improve the satisfaction and quality of student volunteer application consultation.

[0057] 3. By combining data analysis and the volunteer consultation time information of the volunteer application instructor selected by the students based on the identity text information of the volunteer application instructor selected by the students, the volunteer application consultation time of the volunteer application instructor selected by the students can be efficiently searched. At the same time, the touch display screen can be used to visually output the volunteer application consultation time information that has not been scheduled and accurately collect the student volunteer application consultation appointment time information, so as to realize the personalized management of the student volunteer application consultation time; the volunteer application consultation platform determines the time parameters based on the student volunteer application consultation and independently and efficiently executes the volunteer application consultation appointment work, so as to realize the accurate and convenient volunteer application consultation time between the students and the selected volunteer application instructors, and improve the applicability of the student volunteer application consultation management. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 A module diagram of a personalized student application consultation management system based on artificial intelligence provided by the present invention;

[0059] Figure 2 A flowchart of a method for personalized student application consultation management based on artificial intelligence provided by the present invention. DETAILED DESCRIPTION

[0060] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0061] The embodiment of the personalized student application consultation management system and method based on artificial intelligence is as follows:

[0062] Embodiment 1:

[0063] See also Figure 1 - Figure 2 , a personalized student application consultation management method based on artificial intelligence, the method comprises the following steps:

[0064] S1. Collect student volunteer application consultation text data;

[0065] S2. Analyze and process the volunteer application guidance types required by students based on the student volunteer application consultation text data and the characteristic keyword data of different volunteer application guidance types to generate student volunteer application guidance type analysis data;

[0066] S3, based on the analysis data of the student volunteer filling guidance type, perform a search and process for the identity information of the volunteer filling guidance personnel of the specific volunteer filling guidance type, and generate the identity text data of the target volunteer filling guidance personnel;

[0067] S4. Search and process the service ranking information and service charge information of the volunteer filling guidance personnel based on the identity text data of the target volunteer filling guidance personnel, and generate the volunteer filling guidance personnel service ranking data and volunteer filling guidance personnel service charge data;

[0068] S5. Outputting the search results of target volunteer filling instructors according to the identity information, service ranking information and service fee information of the volunteer filling instructors, and collecting the identity text data of the volunteer filling instructors selected by the students;

[0069] S6. Perform a consultation time parameter search process on the student-selected volunteer application instructor based on the student-selected volunteer application instructor's identity text data and the volunteer application instructor's volunteer application consultation time data, generate and output the student-selected volunteer application instructor's consultation time data, and collect the student's volunteer application consultation confirmation time data;

[0070] S7. Execute the volunteer application consultation appointment task based on the student volunteer application consultation time data.

[0071] For further information, see Figure 1 - Figure 2 ,The steps for collecting student volunteer application consultation text data are as follows:

[0072] S11. Input the student's text information about the volunteer application consultation content online through the data collection dialog box of the volunteer application consultation platform, and generate the student volunteer application consultation text data I. The student volunteer application consultation text data includes the text data of the applied colleges, the text data of the applied majors, and the text data of the volunteer application process. The volunteer application consultation platform includes any one of Youzhiyuan, Palm College Entrance Examination, Fengxue Weilai, Baidu College Entrance Examination, and Tsinghua Ziyu.

[0073] The steps for analyzing and processing the volunteer application guidance types required by students based on the student volunteer application consultation text data and the characteristic keyword data of different volunteer application guidance types to generate the student volunteer application guidance type analysis data are as follows:

[0074] S21. Establishing a data set of characteristic keywords of different volunteer application guidance types A=(a 1 ,…,a m ,…,a α ), m=1,2,3,…,α; where a m represents the characteristic keyword data of different volunteer filling guidance types corresponding to the m-th volunteer filling guidance type, α represents the maximum number of volunteer filling guidance types; volunteer filling guidance types include parallel volunteer filling guidance types, sequential volunteer filling guidance types, college major guidance types and professional school guidance types; the characteristic keyword data of different volunteer filling guidance types represent the volunteer filling consultation text keyword information corresponding to different volunteer filling guidance types;

[0075] S22, compare the student volunteer application consultation text data I with the different volunteer application guidance type feature keyword data a in the different volunteer application guidance type feature keyword data set A. m Perform volunteer application keyword matching and search for different volunteer application guidance type feature keyword data a that matches the student volunteer application consultation text data I m The corresponding volunteer application guidance type text information is constructed to construct the student volunteer application guidance type analysis data A leixing , execute the construction of student volunteer application guidance type analysis data A leixing The specific steps are as follows:

[0076] S221, initializing parameters and updating the maximum number of iterations T of the algorithm;

[0077] S222, initializing the volunteer application guidance type to identify the position of the seagull population in the search space of the characteristic keyword data set A of different volunteer application guidance types;

[0078] S223, according to the volunteer application keyword matching, calculate all the different volunteer application guidance type characteristic keyword data a in the different volunteer application guidance type characteristic keyword data set A. m The fitness value of the student volunteer filling consultation text data I is retained in the search space of the different volunteer filling guidance type feature keyword data set A, and the different volunteer filling guidance type feature keyword data a with the largest fitness value of the student volunteer filling consultation text data I is retained. m The global optimal position of

[0079] S224, migration, global search: There are three main steps in identifying the migration behavior of seagulls. The first is to meet the conditions of avoiding collision between seagulls in different volunteer filling guidance type feature keyword data sets A search space; the second is to match the volunteer filling guidance type feature keyword data a in different volunteer filling guidance type feature keyword data sets A search space and match the student volunteer filling consultation text data I according to the volunteer filling keyword matching calculation. m The best position direction; third, according to the different volunteer filling guidance type feature keyword data a that best matches the student volunteer filling consultation text data I m Move the direction of the best position to a new position;

[0080] S2241, calculate the new position V'(t) of the seagull for identifying volunteer application guidance types in the search space of different volunteer application guidance type feature keyword data sets A without colliding with the adjacent seagull for identifying volunteer application guidance types; V'(t) = ∫ × V(t), Where V(t) represents the current position of the seagull in the search space of different volunteer filling guidance type feature keyword data set A, t represents the current iteration number; ∫ represents the movement behavior of the seagull in the search space of different volunteer filling guidance type feature keyword data set A; represents the function that controls the frequency of change of ∫, and T represents the maximum number of iterations;

[0081] S2242, according to the volunteer application keyword matching, calculate the optimal position direction K(t) of the different volunteer application guidance type characteristic keyword data that matches the student volunteer application consultation text data I in the search space of the different volunteer application guidance type characteristic keyword data set A; Where V best(t) represents the current best position of the characteristic keyword data of different volunteer filling guidance types that matches the student volunteer filling consultation text data I in the search space of the characteristic keyword data set A of different volunteer filling guidance types according to the volunteer filling keyword matching search, V(t) represents the current position of the volunteer filling guidance type identification seagull in the search space of the characteristic keyword data set A of different volunteer filling guidance types; Λ represents a random number that balances the global and local search capabilities, Represents a random number in the interval [0,1];

[0082] S2243, according to the different volunteer filling guidance type characteristic keyword data set A, the different volunteer filling guidance type characteristic keyword data a that best matches the student volunteer filling consultation text data I in the search space m The direction of the best position moves to the new position P(t), P(t) = |V'(t) + K(t)|;

[0083] S225. Attacking prey, local search, identifying volunteer application guidance types. When the seagull attacks the prey of different volunteer application guidance type characteristic keyword data matching the student volunteer application consultation text data I in the search space of different volunteer application guidance type characteristic keyword data sets A, it performs spiral motion in the air. The new position F'(t) after the seagull attacks the prey of different volunteer application guidance type characteristic keyword data is identified. F'(t)=F(t)+Z best (t);

[0084] S226, judging whether the maximum number of iterations is met, outputting the characteristic keyword data of different volunteer filling guidance types that best matches the student volunteer filling consultation text data I; if not met, returning to step S223;

[0085] S227, the characteristic keyword data a of different volunteer filling guidance types that best matches the student volunteer filling consultation text data I outputted in step S226 m The corresponding volunteer application guidance type text information is constructed to construct the student volunteer application guidance type analysis data A leixing .

[0086] Through the student volunteer application consultation information collection unit, the volunteer application consultation platform data collection dialog box is used to accurately and conveniently collect student volunteer application consultation text information, providing real data support for the scientific analysis of student volunteer application guidance types; the student volunteer application guidance type analysis unit, based on the student volunteer application consultation text information combined with artificial intelligence recognition algorithm and scientifically preset different volunteer application guidance type feature keyword parameters, conducts intelligent analysis of student volunteer application guidance types, realizes personalized scientific guidance for student volunteer applications, and improves the scientific nature of student volunteer application consultation management.

[0087] For further information, see Figure 1 - Figure 2 Based on the analysis data of student volunteer filling guidance type, the identity information of volunteer filling guidance personnel of specific volunteer filling guidance type is searched and processed, and the operation steps for generating the identity text data of the target volunteer filling guidance personnel are as follows:

[0088] S31. Use KD tree nearest neighbor search algorithm to analyze data A based on the type of guidance for students to fill in their voluntary applications leixing Corresponding volunteer application guidance type text information, search for student volunteer application guidance type analysis data A on the volunteer application consultation platform leixing The matching volunteer filling guidance personnel's volunteer filling resume identity information, and generate the target volunteer filling guidance personnel identity text data set B = (b 1 ,…,b n ,…,b β ), n=1,2,3,…,β; where b n represents the identity text data of the target volunteer filling guidance personnel corresponding to the nth volunteer filling guidance personnel, β represents the maximum number of volunteer filling guidance personnel; the identity text data of the target volunteer filling guidance personnel includes the volunteer filling guidance personnel's name identity text data, volunteer filling work experience identity text data, age identity text data, and volunteer filling expertise field identity text data.

[0089] The steps for searching and processing the service ranking information and service charge information of the volunteer filling guidance personnel based on the identity text data of the target volunteer filling guidance personnel, and generating the volunteer filling guidance personnel service ranking data and volunteer filling guidance personnel service charge data are as follows:

[0090] S41, calling the target volunteer filling guidance personnel identity text data set B;

[0091] S42, using a unified cost search algorithm based on the target volunteer filling guidance personnel identity text data set B target volunteer filling guidance personnel identity text data b n Search the service ranking information of the target volunteer filling guidance personnel on the volunteer filling consultation platform, and generate the volunteer filling guidance personnel service ranking data set B'=(b' 1 ,…,b' n ,…,b' β ), where b' n It represents the volunteer filling guidance personnel service ranking data corresponding to the nth volunteer filling guidance personnel, and the volunteer filling guidance personnel service ranking data represents the volunteer filling guidance service ranking data of the volunteer filling guidance personnel on the volunteer filling consultation platform;

[0092] Similarly, the unified cost search algorithm is used to find the target volunteer filling guidance personnel identity text data set B based on the target volunteer filling guidance personnel identity text data set B. n Search the service fee information of the target volunteer filling guidance personnel on the volunteer filling consultation platform, and generate the volunteer filling guidance personnel service fee data set B" = (b" 1 ,…,b” n ,…,b″ β ), where b″ n represents the volunteer guidance service fee data corresponding to the nth volunteer guidance staff, and the volunteer guidance service fee data represents the volunteer guidance service fee information of the volunteer guidance staff on the volunteer consultation platform, b″ n The unit is yuan per minute.

[0093] The steps for outputting the search results of target volunteer filling instructors according to their identity information, service ranking information, and service fee information, and collecting the identity text data of the volunteer filling instructors selected by students are as follows:

[0094] S51, respectively, the target volunteer filling guidance personnel identity text data set B target volunteer filling guidance personnel identity text data b 1 To b β Conversion target volunteer filling guidance personnel identity text data b 1 To b β The virtual menu is arranged in horizontal rows, and the volunteer filling guidance personnel service ranking data set B' in the volunteer filling guidance personnel service ranking data set B' is included. 1 to b' β Conversion of volunteer application guidance personnel service ranking data b' 1 to b' β Virtual menu and fill in the target volunteer guidance personnel identity text data b in horizontal rows 1 To b β Directly below, the volunteer guidance personnel are arranged in parallel according to their number, and the volunteer guidance personnel service fee data b″ in the volunteer guidance personnel service fee data set B” is 1 to b″ β Conversion of volunteer application guidance service fee data b″ 1 to b″ β Virtual menu and follow the horizontal rows in the volunteer guidance staff service ranking data b' 1 to b' β Directly below, the number of volunteer guidance personnel is aligned in parallel; the identity text data of the volunteer guidance personnel b is arranged to complete the target volunteer guidance personnel 1 To b βVirtual menu, volunteer application guidance service ranking data b' 1 to b' β Virtual menu and volunteer guidance service fee datab″ 1 to b″ β The virtual menu is output via the touch display;

[0095] S52, the student's target volunteer filling guidance personnel identity text data b output based on the touch screen 1 To b β Virtual menu, volunteer application guidance service ranking data b' 1 to b' β Virtual menu, volunteer guidance service fee data b″ 1 to b″ β The user can select the target volunteer filling instructor identity text data by clicking on the virtual menu on the touch screen, and generate the student selected volunteer filling instructor identity text data b through data identification. xuanding .

[0096] Through the volunteer application guidance personnel identity information search unit, based on the student volunteer application guidance type analysis parameters combined with the intelligent search algorithm, the identity information of the volunteer application guidance personnel required by the students can be accurately searched on the volunteer application consultation platform, so as to accurately screen the student volunteer application guidance personnel; the volunteer application guidance personnel volunteer application service ranking information search unit and the volunteer application guidance personnel volunteer application service fee information search unit cooperate with each other, based on the target volunteer application guidance personnel identity information combined with the intelligent search algorithm, the volunteer application guidance personnel service ranking and service fee information search unit can be efficiently retrieved on the volunteer application consultation platform, so as to realize the digital evaluation of the volunteer application guidance personnel's volunteer application consultation ability and improve the intuitiveness of the student volunteer application consultation management; the target volunteer application guidance personnel search information output unit and the student required volunteer application guidance personnel identity information collection unit cooperate with each other, according to the volunteer application guidance personnel identity information, service ranking information and service fee information combined with the touch display screen, the student volunteer application guidance personnel information search result is intuitively and scientifically displayed, and at the same time, the identity information of the student selected volunteer application guidance personnel is collected online, so that the student can flexibly and customizedly choose the volunteer application guidance personnel they need, and improve the satisfaction and quality of the student volunteer application consultation.

[0097] For further information, see Figure 1 - Figure 2, based on the identity text data of the volunteer filling instructor selected by the student and the volunteer filling consultation time data of the volunteer filling instructor, the consultation time parameter search processing of the student selected volunteer filling instructor is performed, and the consultation time data of the student selected volunteer filling instructor is generated and output. The operation steps for collecting the student volunteer filling consultation confirmation time data are as follows:

[0098] S61. Establish volunteer application guidance personnel volunteer application consultation time data set C = (c 1 ,…,c n ,…,c β ), where c n It indicates the volunteer application consultation time data of the volunteer application guidance personnel corresponding to the nth volunteer application guidance personnel. The volunteer application consultation time data of the volunteer application guidance personnel includes the volunteer application consultation time period that has been scheduled and the volunteer application consultation time period that has not been scheduled. The unit of the time period is year, month, day, hour and minute.

[0099] S62, the identity text data of the student's selected volunteer filling guidance person b xuanding and the volunteer application guidance personnel volunteer application consultation time data set C of the volunteer application guidance personnel volunteer application consultation time data c n According to the number of volunteer guidance personnel, character matching is performed to search for the identity text data of the volunteer guidance personnel selected by the students. xuanding The corresponding volunteer application guidance staff volunteer application consultation time data c n , and generate the consultation time data c of the student's selected volunteer application instructor through data identification xuanding ;

[0100] S63, the consultation time data of the student's selected volunteer application instructor c xuanding The corresponding unscheduled volunteer application consultation time periods are converted into unscheduled volunteer application consultation time period virtual menus and output through the touch display screen;

[0101] S64. Students select the unscheduled volunteer application consultation time period based on the virtual menu of unscheduled volunteer application consultation time period output by the touch screen, and click on the virtual menu on the touch screen to select the unscheduled volunteer application consultation time period they need, and generate student volunteer application consultation confirmation time data O through data identification.

[0102] The steps for executing the volunteer application consultation appointment task based on the student volunteer application consultation time data are as follows:

[0103] S71, the volunteer application consultation platform determines the time period corresponding to the time data O according to the student's volunteer application consultation and executes the identity text data b of the student's selected volunteer application guidance personnel xuandingMake an appointment for volunteer application consultation with the corresponding volunteer application guidance staff.

[0104] Through the cooperation of the student's required volunteer application guidance staff's volunteer application consultation time search and output unit and the student volunteer application consultation time selection unit, the student's selected volunteer application guidance staff's volunteer application consultation time is efficiently searched based on the student's selected volunteer application guidance staff's identity text information combined with data analysis and volunteer application guidance staff's volunteer application consultation time information. At the same time, the touch display screen is used to visually output the unscheduled volunteer application consultation time information and accurately collect the student's volunteer application consultation appointment time information, so as to realize the personalized management of the student's volunteer application consultation time; the volunteer application consultation appointment operation execution unit, the volunteer application consultation platform independently and efficiently executes the volunteer application consultation appointment operation based on the time parameters determined by the student's volunteer application consultation, so as to realize the accurate and convenient volunteer application consultation time between the student and the selected volunteer application guidance staff, and improve the applicability of the student volunteer application consultation management.

[0105] Embodiment 2:

[0106] See also Figure 1 - Figure 2 , a personalized student application consultation management system based on artificial intelligence, used to implement a personalized student application consultation management method based on artificial intelligence, the system includes a volunteer application type analysis module, a volunteer application guidance personnel matching module, and a volunteer application appointment management module;

[0107] The volunteer application type analysis module includes a student volunteer application consultation information collection unit, a different volunteer application guidance type characteristic keyword storage unit, and a student volunteer application guidance type analysis unit;

[0108] The student volunteer filling consultation information collection unit collects student volunteer filling consultation text data through the data collection dialog box of the volunteer filling consultation platform; the different volunteer filling guidance type characteristic keyword storage unit is used to store different volunteer filling guidance type characteristic keyword data; the student volunteer filling guidance type analysis unit analyzes and processes the volunteer filling guidance type required by the student based on the student volunteer filling consultation text data and the different volunteer filling guidance type characteristic keyword data, and generates student volunteer filling guidance type analysis data;

[0109] The volunteer filling guidance personnel matching module includes a volunteer filling guidance personnel identity information search unit, a volunteer filling guidance personnel volunteer filling service ranking information search unit, a volunteer filling guidance personnel volunteer filling service fee information search unit, a target volunteer filling guidance personnel search information output unit, and a student required volunteer filling guidance personnel identity information collection unit;

[0110] A volunteer filling guidance personnel identity information search unit, based on the student volunteer filling guidance type analysis data combined with the volunteer filling consultation platform to perform a search and processing of the volunteer filling guidance personnel identity information of the specific volunteer filling guidance type, and generate the target volunteer filling guidance personnel identity text data; a volunteer filling guidance personnel volunteer filling service ranking information search unit, based on the target volunteer filling guidance personnel identity text data combined with the volunteer filling consultation platform to perform a search and processing of the volunteer filling guidance personnel service ranking information, and generate the volunteer filling guidance personnel service ranking data; a volunteer filling guidance personnel volunteer filling service charge information search unit, based on the target volunteer filling guidance personnel identity text data combined with the volunteer filling consultation platform to perform a search and processing of the volunteer filling guidance personnel service charge information, and generate the volunteer filling guidance personnel service charge data; a target volunteer filling guidance personnel search information output unit, based on the volunteer filling guidance personnel identity information, service ranking information and service charge information combined with the touch display screen to perform the target volunteer filling guidance personnel search result output operation; a student required volunteer filling guidance personnel identity information collection unit, through the touch display screen to collect the student selected volunteer filling guidance personnel identity text data;

[0111] The volunteer application appointment management module includes a volunteer application guidance staff volunteer application consultation time storage unit, a student required volunteer application guidance staff volunteer application consultation time search output unit, a student volunteer application consultation time selection unit, and a volunteer application consultation appointment operation execution unit;

[0112] The volunteer application guidance staff volunteer application consultation time storage unit is used to store the volunteer application guidance staff volunteer application consultation time data; the volunteer application guidance staff volunteer application consultation time search and output unit required by the student's volunteer application guidance staff performs consultation time parameter search and processing of the student's selected volunteer application guidance staff based on the student's selected volunteer application guidance staff identity text data and the volunteer application guidance staff volunteer application consultation time data, generates the student's selected volunteer application guidance staff consultation time data and outputs it in conjunction with the touch display screen; the student volunteer application consultation time selection unit collects the student volunteer application consultation confirmation time data through the touch display screen; the volunteer application consultation appointment job execution unit, the volunteer application consultation platform executes the volunteer application consultation appointment job based on the student volunteer application consultation confirmation time data.

[0113] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A personalized student application consultation management method based on artificial intelligence, characterized in that: The method comprises the following steps: S1. Collect student volunteer application consultation text data; S2. Analyze the data of student volunteer application guidance types; S3, identifying the identity text data of the target volunteer filling guidance personnel; S4. Search out the service ranking data of volunteer application guidance personnel and the service fee data of volunteer application guidance personnel; S5. Outputting the search results of target volunteer filling instructors according to the identity information, service ranking information and service fee information of the volunteer filling instructors, and collecting the identity text data of the volunteer filling instructors selected by the students; S6. Generate and output the consultation time data of the student's selected volunteer application guidance personnel, and collect the student's volunteer application consultation confirmation time data; S7. Execute the volunteer application consultation appointment task based on the student volunteer application consultation time data.

2. According to the method of claim 1, which is based on artificial intelligence, the personalized student application consultation management method is characterized by: The S1 comprises the following steps: S11. Input the text information of students regarding the volunteer application consultation content online through the data collection dialog box of the volunteer application consultation platform, and generate student volunteer application consultation text data I.

3. According to the method of claim 2, which is based on artificial intelligence and is characterized by: The S2 comprises the following steps: S21. Establish a data set of characteristic keywords for different volunteer application guidance types A = (a1, ..., a m ,…,a α ), m=1,2,3,…,α; where a m represents the characteristic keyword data of different volunteer application guidance types corresponding to the mth volunteer application guidance type, and α represents the maximum number of volunteer application guidance types; S22, the I and the a in the A m Carry out volunteer application keyword matching, search out the a that matches the I m The corresponding volunteer application guidance type text information is constructed to construct the student volunteer application guidance type analysis data A leixing , execute the construction of the student volunteer filling guidance type analysis data A leixing The specific steps are as follows: S221, initializing parameters and updating the maximum number of iterations T of the algorithm; S222, initializing the volunteer application guidance type to identify the position of the seagull population in the A search space; S223, calculate all the a in A according to the volunteer application keyword matching m and the fitness value of I, and retain the a with the largest fitness value of I in the A search space m The global optimal position of S224, migration, global search: There are three main steps to identify the migration behavior of seagulls. The first is to meet the conditions of avoiding collision between seagulls of different volunteer filling guidance types in the A search space; the second is to calculate the a matching the I in the A search space according to the volunteer filling keyword matching; m The best position direction; the third is based on the a that best matches the I m Move the direction of the best position to a new position; S2241, calculating the new position V'(t) of the volunteer application guidance type identification seagull in the A search space without colliding with the adjacent volunteer application guidance type identification seagull; S2242, calculating the best position direction K(t) matching with I in the A search space according to the volunteer application keyword matching; S2243, searching the a in the A search space that best matches the I m Move the direction of the optimal position to the new position P(t); S225, attack prey, local search, volunteer guidance type recognition seagull attacks the a matching the I in the A search space m When prey is caught, it performs spiral movements in the air, volunteering to identify the type of seagull attacking the a m The new position after the prey is F'(t), F'(t) = F(t) + Z best (t); S226, judging whether the maximum number of iterations is satisfied, then outputting the a that best matches the I m ; If not satisfied, return to step S223; S227, the a output in step S226 that best matches the I m The corresponding volunteer application guidance type text information is constructed to construct the student volunteer application guidance type analysis data A leixing .

4. According to the method of claim 3, which is based on artificial intelligence and is characterized by: The S3 comprises the following steps: S31, using the KD tree nearest neighbor search algorithm according to the A leixing Corresponding volunteer application guidance type text information, search for the volunteer application consultation platform and find the one related to A leixing The matching volunteer filling guidance personnel's volunteer filling resume identity information is generated, and the target volunteer filling guidance personnel identity text data set B = (b1, ..., b n ,…,b β ), n=1,2,3,…,β; where b n represents the identity text data of the target volunteer filling guidance personnel corresponding to the nth volunteer filling guidance personnel, and β represents the maximum number of volunteer filling guidance personnel.

5. According to claim 4, a method for personalized student application consultation management based on artificial intelligence is characterized by: The S4 comprises the following steps: S41, calling the B; S42, using a unified cost search algorithm based on b in B n Search the service ranking information of the target volunteer filling guidance personnel on the volunteer filling consultation platform, and generate the volunteer filling guidance personnel service ranking data set B'=(b'1,…,b' n ,…,b' β ), where b' n Indicates the volunteer application guidance personnel service ranking data corresponding to the nth volunteer application guidance personnel; Similarly, the unified cost search algorithm is used according to the b in B n Search the service fee information of the target volunteer filling guidance personnel on the volunteer filling consultation platform, and generate the volunteer filling guidance personnel service fee data set B" = (b"1, ..., b" n ,…,b″ β ), where b” n Indicates the service fee data of the volunteer guidance staff corresponding to the nth volunteer guidance staff, b" n The unit is yuan per minute.

6. The method for personalized student application consultation management based on artificial intelligence according to claim 5 is characterized by: The S5 comprises the following steps: S51, respectively convert b1 to b in B β Convert b1 to b β The virtual menu is arranged in horizontal rows, and b'1 to b' in B' β Convert b'1 to b' β The virtual menu follows the horizontal lines from b1 to b β Directly below, arrange in parallel the number of volunteer guidance personnel, and change b″1 to b″ in B” β Convert the b"1 to b" β The virtual menu follows the horizontal lines from b'1 to b' β Arrange the numbers of the volunteer guidance staff in parallel at the bottom; complete the arrangement of b1 to b β Virtual menu, b'1 to b' β Virtual menu and said b″1 to b″ β The virtual menu is output via the touch display; S52: The student outputs the above b1 to b based on the touch screen display β Virtual menu, b'1 to b' β Virtual menu, said b″1 to b″ β The user can select the target volunteer filling instructor identity text data by clicking on the virtual menu on the touch screen, and generate the student selected volunteer filling instructor identity text data b through data identification. xuanding .

7. The method for personalized student application consultation management based on artificial intelligence according to claim 6 is characterized by: The S6 comprises the following steps: S61. Establish the volunteer application consultation time data set C = (c1,…,c n ,…,c β ), where c n Indicates the volunteer application consultation time data of the volunteer application instructor corresponding to the nth volunteer application instructor; S62, the b xuanding With the C in c n According to the number of volunteer guidance personnel, the character matching is searched for the b xuanding The corresponding c n , and generate the consultation time data c of the student's selected volunteer application instructor through data identification xuanding ; S63, the c xuanding The corresponding unscheduled volunteer application consultation time periods are converted into unscheduled volunteer application consultation time period virtual menus and output through the touch display screen; S64. Students select the unscheduled volunteer application consultation time period based on the virtual menu of unscheduled volunteer application consultation time period output by the touch screen, and click on the virtual menu on the touch screen to select the unscheduled volunteer application consultation time period they need, and generate student volunteer application consultation confirmation time data O through data identification.

8. The method for personalized student application consultation management based on artificial intelligence according to claim 7 is characterized by: The S7 comprises the following steps: S71, the volunteer application consultation platform executes the student and b according to the time period corresponding to O xuanding Make an appointment for volunteer application consultation with the corresponding volunteer application guidance staff.

9. An artificial intelligence-based personalized student application consultation management system, used to implement an artificial intelligence-based personalized student application consultation management method according to any one of claims 1 to 8, characterized in that: The system includes a volunteer application type analysis module, a volunteer application guidance personnel matching module, and a volunteer application appointment management module.

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