Systems and methods of facilitating protocol-agnostic interoperability between multiple digital systems

Abstract

The present disclosure provides a method of facilitating protocol-agnostic interoperability between multiple digital systems. Further, the method may include receiving a system-metadata from a system-interface device. Further, the method may include receiving a system-interaction data from a transaction origin device. Further, the method may include analyzing the system-metadata to determine one or more communication rules of a first digital system. Further, the method may include analyzing the system-metadata to determine one or more communication rules of a second digital system. Further, the method may include transforming the system-interaction data based on the communication rule of the first digital system and the communication rule of the second digital system to generate an interoperable data. Further, the method may include storing the interoperable data. Further, the method may include transmitting the interoperable data to the second digital system.

Description

[0001] SYSTEMS AND METHODS OF FACILITATING PROTOCOL- AGNOSTIC INTEROPERABILITY BETWEEN MULTIPLE DIGITAL SYSTEMS

[0002] The current application claims a priority to the U.S. provisional patent application serial number 63 / 660,886 filed on June 17, 2025.

[0003] FIELD OF THE INVENTION

[0004] The present disclosure generally relates to the field of data processing. More specifically, the present disclosure relates to systems and methods of facilitating protocol- agnostic interoperability between multiple digital systems.

[0005] BACKGROUND OF THE INVENTION

[0006] The field of data processing is technologically important to several industries, business organizations, and / or individuals. In the digital age, the creation and distribution of digital content has become ubiquitous. Digital content includes various forms such as images, videos, music, documents, and other multimedia files. With the proliferation of digital content, there is a growing need for effective systems to manage, distribute, and monetize this content. Traditional digital content management systems (DCMS) have provided some solutions, but they often lack the dynamic and intelligent capabilities required to address the complexities of modem digital marketplaces. Current technologies lack dynamic pricing mechanisms that can respond to realtime market conditions. Traditional pricing models are often static and fail to reflect changes in demand and supply, resulting in inefficiencies and suboptimal pricing strategies. This limitation hinders both content creators and consumers, as prices may not align with the true market value of digital assets. Moreover, the management of digital content in terms of secure storage, transmission, and ownership tracking remains a concern. Further, current technologies do not fully utilize advanced technologies such as Al and blockchain, which can enhance the security, transparency, and efficiency of digital content transactions. Block chain, for instance, offers immutable and transparent records of transactions, ensuring that ownership rights arc clear and tamper-proof.

[0007] Therefore, there is a need for improved systems and methods of facilitating protocolagnostic interoperability between multiple digital systems that can overcome one or more of the preceding problems.

[0008] SUMMARY OF THE INVENTION

[0009] This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the Detailed Description. This summary is not intended to identify key features or essential features of the claimed subject matter. Nor is this summary intended to be used to limit the claimed subject matter’s scope.

[0010] The present disclosure provides a method of facilitating protocol-agnostic interoperability between multiple digital systems. Further, the method may include receiving, using a communication device, a system-metadata from a system-interface device. Further, the method may include receiving, using the communication device, a system-interaction data from a transaction origin device. Further, the method may include analyzing, using a processing device, the system-metadata to determine one or more communication rules of a first digital system. Further, the method may include analyzing, using the processing device, the system-metadata to determine one or more communication rules of a second digital system. Further, the method may include transforming, using the processing device, the system-interaction data based on the communication rule of the first digital system and the communication rule of the second digital system to generate an interoperable data. Further, the method may include storing, using a storage device, the interoperable data. Further, the method may include transmitting, using the communication device, the interoperable data to the second digital system.

[0011] The present disclosure provides a system for facilitating protocol-agnostic interoperability between multiple digital systems. Further, the system may include a communication device. Further, the communication device may be configured for receiving a system-metadata from a system interface device. Further, the communication device may be configured for receiving a system-interaction data from a transaction origin device. Further, the communication device may be configured for transmitting an interoperable data to a second digital system. Further, the system may include a processing device communicatively coupled with the communication device. Further, the processing device may be configured for analyzing the system-metadata to determine one or more communication rules of a first digital system. Further, the processing device may be configured for analyzing the system-metadata to determine one or more communication rules of a second digital system. Further, the processing device may be configured for transforming the system-interaction data based on the communication rule of the first digital system and the communication rule of the second digital system to generate the interoperable data. Further, the system may include a storage device communicatively coupled with the processing device. Further, the storage device may be configured for storing the interoperable data.

[0012] Both the foregoing summary and the following detailed description provide examples and are explanatory only. Accordingly, the foregoing summary and the following detailed description should not be considered to be restrictive. Further, features or variations may be provided in addition to those set forth herein. For example, embodiments may be directed to various feature combinations and sub-combinations described in the detailed description.

[0013] BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The accompanying drawings, which are incorporated in and constitute a part of this disclosure, illustrate various embodiments of the present disclosure. The drawings contain representations of various trademarks and copyrights owned by the Applicants. In addition, the drawings may contain other marks owned by third parties and are being used for illustrative purposes only. All rights to various trademarks and copyrights represented herein, except those belonging to their respective owners, are vested in and the property of the applicants. The applicants retain and reserve all rights in their trademarks and copyrights included herein, and grant permission to reproduce the material only in connection with reproduction of the granted patent and for no other purpose. Furthermore, the drawings may contain text or captions that may explain certain embodiments of the present disclosure. This text is included for illustrative, non-limiting, explanatory purposes of certain embodiments detailed in the present disclosure.

[0015] FIG. 1 is an illustration of an online platform 100 consistent with various embodiments of the present disclosure.

[0016] FIG. 2 is a block diagram of a computing device 200 for implementing the methods disclosed herein, in accordance with some embodiments.

[0017] FIG. 3A illustrates a flowchart of a method 300 of facilitating protocol- agnostic interoperability between multiple digital systems , in accordance with some embodiments.

[0018] FIG. 3B illustrates a continuation of the flowchart of the method 300 of facilitating protocol- agnostic interoperability between multiple digital systems, in accordance with some embodiments.

[0019] FIG. 4 illustrates a flowchart of a method 400 of facilitating protocol-agnostic interoperability between multiple digital systems including receiving, using the communication device 802, a metadata information from the transaction origin device, in accordance with some embodiments.

[0020] FIG. 5 illustrates a flowchart of a method 500 of facilitating protocol-agnostic interoperability between multiple digital systems including determining, using the processing device 804, a transaction priority data associated with the system interaction data, in accordance with some embodiments.

[0021] FIG. 6 illustrates a flowchart of a method 600 of facilitating protocol-agnostic interoperability between multiple digital systems including generating, using the processing device 804, a harmonization log, in accordance with some embodiments.

[0022] FIG. 7 illustrates a flowchart of a method 700 of facilitating protocol-agnostic interoperability between multiple digital systems including identifying, using the processing device 804, an origin data representing a source digital system of the system interaction data, in accordance with some embodiments.

[0023] FIG. 8 illustrates a block diagram of the system 800 of facilitating protocol- agnostic interoperability between multiple digital systems, in accordance with some embodiments. DETAILED DESCRIPTION OF THE INVENTION

[0024] As a preliminary matter, it will readily be understood by one having ordinary skill in the relevant art that the present disclosure has broad utility and application. As should be understood, any embodiment may incorporate only one or a plurality of the above-disclosed aspects of the disclosure and may further incorporate only one or a plurality of the above-disclosed features. Furthermore, any embodiment discussed and identified as being “preferred” is considered to be part of a best mode contemplated for carrying out the embodiments of the present disclosure. Other embodiments also may be discussed for additional illustrative purposes in providing a full and enabling disclosure. Moreover, many embodiments, such as adaptations, variations, modifications, and equivalent arrangements, will be implicitly disclosed by the embodiments described herein and fall within the scope of the present disclosure.

[0025] Accordingly, while embodiments are described herein in detail in relation to one or more embodiments, it is to be understood that this disclosure is illustrative and exemplary of the present disclosure and are made merely for the purposes of providing a full and enabling disclosure. The detailed disclosure herein of one or more embodiments is not intended, nor is to be construed, to limit the scope of patent protection afforded in any claim of a patent issuing here from, which scope is to be defined by the claims and the equivalents thereof. It is not intended that the scope of patent protection be defined by reading into any claim limitation found herein and / or issuing here from that does not explicitly appear in the claim itself.

[0026] Thus, for example, any sequence(s) and / or temporal order of steps of various processes or methods that are described herein are illustrative and not restrictive. Accordingly, it should be understood that, although steps of various processes or methods may be shown and described as being in a sequence or temporal order, the steps of any such processes or methods are not limited to being carried out in any particular sequence or order, absent an indication otherwise. Indeed, the steps in such processes or methods generally may be carried out in various different sequences and orders while still falling within the scope of the present disclosure. Accordingly, it is intended that the scope of patent protection is to be defined by the issued claim(s) rather than the description set forth herein.

[0027] Additionally, it is important to note that each term used herein refers to that which an ordinary artisan would understand such term to mean based on the contextual use of such term herein. To the extent that the meaning of a term used herein — as understood by the ordinary artisan based on the contextual use of such term — differs in any way from any particular dictionary definition of such term, it is intended that the meaning of the term as understood by the ordinary artisan should prevail.

[0028] Furthermore, it is important to note that, as used herein, “a” and “an” each generally denote “at least one” but does not exclude a plurality unless the contextual use dictates otherwise. When used herein to join a list of items, “or” denotes “at least one of the items” but does not exclude a plurality of items of the list. Finally, when used herein to join a list of items, “and” denotes “all of the items of the list”.

[0029] The following detailed description refers to the accompanying drawings. Wherever possible, the same reference numbers are used in the drawings and the following description to refer to the same or similar elements. While many embodiments of the disclosure may be described, modifications, adaptations, and other implementations are possible. For example, substitutions, additions, or modifications may be made to the elements illustrated in the drawings, and the methods described herein may be modified by substituting, reordering, or adding stages to the disclosed methods. Accordingly, the following detailed description does not limit the disclosure. Instead, the proper scope of the disclosure is defined by the claims found herein and / or issuing here from. The present disclosure contains headers. It should be understood that these headers are used as references and are not to be construed as limiting upon the subjected matter disclosed under the header.

[0030] The present disclosure includes many aspects and features. Moreover, while many aspects and features relate to, and are described in the context of the disclosed use cases, embodiments of the present disclosure are not limited to use only in this context.

[0031] In general, the method disclosed herein may be performed by one or more computing devices. For example, in some embodiments, the method may be performed by a server computer in communication with one or more client devices over a communication network such as, for example, the Internet. In some other embodiments, the method may be performed by one or more of at least one server computer, at least one client device, at least one network device, at least one sensor and at least one actuator. Examples of the one or more client devices and / or the server computer may include, a desktop computer, a laptop computer, a tablet computer, a personal digital assistant, a portable electronic device, a wearable computer, a smart phone, an Internet of Things (loT) device, a smart electrical appliance, a video game console, a rack server, a super-computer, a mainframe computer, mini-computer, micro-computer, a storage server, an application server (e.g., a mail server, a web server, a real-time communication server, an FTP server, a virtual server, a proxy server, a DNS server, etc.), a quantum computer, and so on. Further, one or more client devices and / or the server computer may be configured for executing a software application such as, for example, but not limited to, an operating system (e.g., Windows, Mac OS, Unix, Linux, Android, etc.) in order to provide a user interface (e.g., GUI, touch-screen based interface, voice based interface, gesture based interface, etc.) for use by the one or more users and / or a network interface for communicating with other devices over a communication network. Accordingly, the server computer may include a processing device configured for performing data processing tasks such as, for example, but not limited to, analyzing, identifying, determining, generating, transforming, calculating, computing, compressing, decompressing, encrypting, decrypting, scrambling, splitting, merging, interpolating, extrapolating, redacting, anonymizing, encoding and decoding. Further, the server computer may include a communication device configured for communicating with one or more external devices. The one or more external devices may include, for example, but are not limited to, a client device, a third-party database, public database, a private database and so on. Further, the communication device may be configured for communicating with the one or more external devices over one or more communication channels. Further, the one or more communication channels may include a wireless communication channel and / or a wired communication channel. Accordingly, the communication device may be configured for performing one or more of transmitting and receiving of information in electronic form. Further, the server computer may include a storage device configured for performing data storage and / or data retrieval operations. In general, the storage device may be configured for providing reliable storage of digital information. Accordingly, in some embodiments, the storage device may be based on technologies such as, but not limited to, data compression, data backup, data redundancy, deduplication, error correction, data finger-printing, role-based access control, and so on.

[0032] Further, one or more steps of the method disclosed herein may be initiated, maintained, controlled and / or terminated based on a control input received from one or more devices operated by one or more users such as, for example, but not limited to, an end user, an admin, a service provider, a service consumer, an agent, a broker and a representative thereof. Further, the user as defined herein may refer to a human, an animal or an artificially intelligent being in any state of existence, unless stated otherwise, elsewhere in the present disclosure. Further, in some embodiments, the one or more users may be required to successfully perform authentication in order for the control input to be effective. In general, a user of the one or more users may perform authentication based on the possession of a secret human readable secret data (e.g., username, password, passphrase, PIN, secret question, secret answer, etc.) and / or possession of a machine readable secret data (e.g., encryption key, decryption key, bar codes, etc.) and / or or possession of one or more embodied characteristics unique to the user (e.g., biometric variables such as, but not limited to, fingerprint, palm-print, voice characteristics, behavioral characteristics, facial features, iris pattern, heart rate variability, evoked potentials, brain waves, and so on) and / or possession of a unique device (e.g., a device with a unique physical and / or chemical and / or biological characteristic, a hardware device with a unique serial number, a network device with a unique IP / MAC address, a telephone with a unique phone number, a smartcard with an authentication token stored thereupon, etc.). Accordingly, the one or more steps of the method may include communicating (e.g., transmitting and / or receiving) with one or more sensor devices and / or one or more actuators in order to perform authentication. For example, the one or more steps may include receiving, using the communication device, the secret human readable data from an input device such as, for example, a keyboard, a keypad, a touch-screen, a microphone, a camera and so on. Likewise, the one or more steps may include receiving, using the communication device, the one or more embodied characteristics from one or more biometric sensors.

[0033] Further, one or more steps of the method may be automatically initiated, maintained and / or terminated based on one or more predefined conditions. In an instance, the one or more predefined conditions may be based on one or more contextual variables. In general, the one or more contextual variables may represent a condition relevant to the performance of the one or more steps of the method. The one or more contextual variables may include, for example, but are not limited to, location, time, identity of a user associated with a device (e.g., the server computer, a client device, etc.) corresponding to the performance of the one or more steps, environmental variables (e.g., temperature, humidity, pressure, wind speed, lighting, sound, etc.) associated with a device corresponding to the performance of the one or more steps, physical state and / or physiological state and / or psychological state of the user, physical state (e.g., motion, direction of motion, orientation, speed, velocity, acceleration, trajectory, etc.) of the device corresponding to the performance of the one or more steps and / or semantic content of data associated with the one or more users. Accordingly, the one or more steps may include communicating with one or more sensors and / or one or more actuators associated with the one or more contextual variables. For example, the one or more sensors may include, but are not limited to, a timing device (e.g., a real-time clock), a location sensor (e.g., a GPS receiver, a GLONASS receiver, an indoor location sensor, etc.), a biometric sensor (e.g., a fingerprint sensor), an environmental variable sensor (e.g., temperature sensor, humidity sensor, pressure sensor, etc.) and a device state sensor (e.g., a power sensor, a voltage / current sensor, a switch-state sensor, a usage sensor, etc. associated with the device corresponding to performance of the or more steps).

[0034] Further, the one or more steps of the method may be performed one or more number of times. Additionally, the one or more steps may be performed in any order other than as exemplarily disclosed herein, unless explicitly stated otherwise, elsewhere in the present disclosure. Further, two or more steps of the one or more steps may, in some embodiments, be simultaneously performed, at least in part. Further, in some embodiments, there may be one or more time gaps between performance of any two steps of the one or more steps.

[0035] Further, in some embodiments, the one or more predefined conditions may be specified by the one or more users. Accordingly, the one or more steps may include receiving, using the communication device, the one or more predefined conditions from one or more and devices operated by the one or more users. Further, the one or more predefined conditions may be stored in the storage device. Alternatively, and / or additionally, in some embodiments, the one or more predefined conditions may be automatically determined, using the processing device, based on historical data corresponding to performance of the one or more steps. For example, the historical data may be collected, using the storage device, from a plurality of instances of performance of the method. Such historical data may include performance actions (e.g., initiating, maintaining, interrupting, terminating, etc.) of the one or more steps and / or the one or more contextual variables associated therewith. Further, machine learning may be performed on the historical data in order to determine the one or more predefined conditions. For instance, machine learning on the historical data may determine a correlation between one or more contextual variables and performance of the one or more steps of the method. Accordingly, the one or more predefined conditions may be generated, using the processing device, based on the correlation.

[0036] Further, one or more steps of the method may be performed at one or more spatial locations. For instance, the method may be performed by a plurality of devices interconnected through a communication network. Accordingly, in an example, one or more steps of the method may be performed by a server computer. Similarly, one or more steps of the method may be performed by a client computer. Likewise, one or more steps of the method may be performed by an intermediate entity such as, for example, a proxy server. For instance, one or more steps of the method may be performed in a distributed fashion across the plurality of devices in order to meet one or more objectives. For example, one objective may be to provide load balancing between two or more devices. Another objective may be to restrict a location of one or more of an input data, an output data and any intermediate data there between corresponding to one or more steps of the method. For example, in a client-server environment, sensitive data corresponding to a user may not be allowed to be transmitted to the server computer. Accordingly, one or more steps of the method operating on the sensitive data and / or a derivative thereof may be performed at the client device.

[0037] Overview

[0038] The present disclosure describes methods and systems for facilitating managing digital content using blockchain. Further, the disclosed system provides a marketplace / platform that allows for all functionalities dealing with sending, identifying, receiving, transmitting, storing, rendering, packaging, generating, processing, embedding all digital content. Further, the disclosed system may be configured for buying and selling tokenized digital content.

[0039] Further, the disclosed system may be configured for posting and going live on multiple platforms while using digital and supplemental content, multiple camera capabilities, buying and selling digital assets and its supplemental content representation, our mirror system, etc. Further, the disclosed system may allow supplemental aspects of anything dealing with digital content. Further, the disclosed system may be configured for buying or selling digital assets with supplemental content, using multiple camera capabilities, a mirror system, and everything that’s novel in the fantastic. Further, the disclosed system may be used for housing, buying and selling trading, authentication, and generating all digital assets with supplemental content. Further, the disclosed system may be associated with Al consensus, within systems and software dealing with digital assets and its supplemental content.

[0040] Further, the disclosed system may be configured for Al-powered content curation by employing Al algorithms for content curation and recommendation, personalized to each user’ s preferences and behavior patterns. Further, the disclosed system may be associated with autonomous systems and Device authentication comprising network prefixes that help direct traffic network on the marketplace / platform. Further, the disclosed system may need the verification that companies go through to be able to list their RWA on exchanges and platforms.

[0041] Further, the disclosed system may allow users to access a multi-centralized system through a variety of access points, each offering unique opportunities for interaction and engagement. These access points include centralized platforms, where users can access centralized components of the system through dedicated platforms or interfaces provided by system administrators or operators. Additionally, the users may interact with centralized services and features of the system through web-based applications accessible via standard web browsers, mobile applications designed to provide access to centralized services and functionalities via smartphones or tablets, and desktop applications installed on personal computers or laptops. Furthermore, developers may access certain functionalities of the system programmatically through Application Programming Interfaces (APIs), while third-party integrations and partnerships allow users to leverage specific features or services provided by external entities within the multi-centralized system. Through decentralized applications (dApps) running on blockchain networks or peer-to-peer protocols, the users may also interact with decentralized components of the system. Lastly, the users may access and interact with smart contracts deployed on blockchain networks to execute automated processes and transactions without intermediaries, providing additional flexibility and autonomy within the multi-centralized system.

[0042] Further, the users may access hybrid decentralized networks through a variety of access points, each offering unique opportunities for interaction and engagement. These access points include wallet-based methods, such as using compatible wallet software to manage digital assets and interact with decentralized applications (dApps), as well as non-wallet methods like API integration for developers to programmatically interact with network functionalities. Further, the users may also participate in network consensus by running nodes, mining or staking tokens, or contributing to governance processes through voting and proposal submission. Additionally, the users may access decentralized content platforms, marketplaces, and identity solutions, as well as specialized platforms for decentralized finance (DeFi), prediction markets, social media, healthcare, energy grids, and more. Through these diverse access points, users can leverage the benefits of hybrid decentralized networks to engage in decentralized finance, governance, content creation, social interaction, and various other activities, contributing to the growth and evolution of decentralized ecosystems.

[0043] This disclosed system may utilize all aspects of quantum technology and any future technology in that space. Further, the disclosed system may be configured for receiving identity information from a source user device (platform person Al, etc.)

[0044] Further, the disclosed system may be configured for performing authentication and validation processes of the user and digital content and supplemental content. Further, the disclosed system may be configured to recognize and analyze the presented information and may give a detailed breakdown of everything about each aspect of what’ s presented, and it is stored in digital or analog format, etc.

[0045] Further, the disclosed system may be configured for implementing a blockchain-based authentication to ensure the integrity and security of user identities and transactions.

[0046] Further, the disclosed system may be configured for developing a Decentralized Digital Rights Management (DRM) system that enables content creators to securely manage and enforce copyright protections for their digital assets.

[0047] Further, the disclosed system may use dynamic pricing algorithms that adjust the prices of digital assets based on real-time market demand, supply, and other relevant factors. Further, the disclosed system may be configured for utilizing smart contracts to establish escrow services, automating the release of funds upon the fulfillment of predefined conditions in digital content transactions. Further, the disclosed system may be configured for implementing geolocationbased access restrictions to limit the distribution of digital content to specific regions or jurisdictions, ensuring compliance with local regulations and licensing agreements. Further, the disclosed system may be configured for introducing tokenization mechanisms to represent ownership rights of digital assets, allowing fractional ownership and facilitating liquidity in the marketplace.

[0048] Further, the disclosed system may be configured for creating immutable audit trails using blockchain technology to track the entire lifecycle of digital content, including creation, ownership transfers, and usage history.

[0049] Further, the disclosed system may be configured to allow for going live on multiple platforms and posting transactions of digital assets and content with supplemental content, dual camera capabilities, and our mirror. Further, the users cannot escape from joining a platform / marketplace. The inner workings of the platform may allow for these things. Further, the disclosed system may be configured for developing a secure digital identity management system that allows users to control access to their personal information and preferences while maintaining anonymity if desired.

[0050] Further, the disclosed system may be configured for utilizing Al algorithms to automatically tag and generate metadata for digital content, improving searchability and discoverability within the marketplace.

[0051] Further, the disclosed system may be configured for creating localized versions of the marketplace tailored to specific regions or languages, offering curated content and localized payment options to cater to diverse audiences worldwide. The platform caters to everyone. People from around the world with different languages will be able to text, go live, etc. conducting business with each other.

[0052] Further, the disclosed system may be configured for integrating emerging technologies such as augmented reality (AR), edge computing, or quantum computing to offer cutting-edge features and capabilities to users.

[0053] Further, the disclosed system may be configured for facilitating secure content sharing and collaboration by providing secure content sharing and collaboration tools for content and collaborators to collaborate on projects, share resources, and manage permissions effectively. (Healthcare, Banking peer to peer or peer to peers, etc.).

[0054] Further, the disclosed system may be configured for incorporating gamification elements such as rewards, badges, and leaderboards to incentivize user engagement, participation, and contribution within the marketplace ecosystem. Further, the disclosed system may be configured for leveraging predictive analytics and machine learning models to forecast content trends, user preferences, and market demand, enabling data-driven decision-making for content creators and publishers. Further, the disclosed system may be configured for implementing advanced predictive analytics models to forecast future content trends, consumer preferences, and market demands, empowering content creators to produce timely and relevant content that resonates with their target audience. This includes identifying patterns in user engagement, content consumption, and demographic data to refine predictions and enhance the accuracy of trend forecasts.

[0055] Further, the disclosed system may be configured for implementing advanced predictive analytics models to forecast future content trends, consumer preferences, and market demands, empowering content creators to produce timely and relevant content that resonates with their target audience. By analyzing historical data and identifying patterns in user behavior, the system can predict which types of content are likely to become popular, which topics will attract the most attention, and which formats will be most effective in engaging audiences.

[0056] Additionally, the system may leverage machine learning algorithms to detect emerging trends and shifts in consumer interests, allowing content creators to stay ahead of the curve and adapt their strategies accordingly. This includes utilizing natural language processing (NLP) to analyze social media conversations, sentiment analysis to gauge public opinion, and clustering techniques to group similar content preferences and trends.

[0057] The disclosed system may also incorporate feedback loops, where real-time user interaction data is continuously fed back into the predictive models to refine and improve their accuracy. This dynamic approach ensures that content strategies remain agile and responsive to changing market conditions and audience behaviors.

[0058] Furthermore, by recognizing patterns in market demand, the system can assist publishers in optimizing content distribution and monetization strategies. This involves identifying the most effective channels for content dissemination, forecasting peak engagement times, and tailoring content to maximize reach and impact.

[0059] In summary, the system’s ability to leverage advanced predictive analytics and machine learning models for forecasting content trends, user preferences, and market demand enables content creators and publishers to make informed, data-driven decisions. By understanding and predicting patterns in user behavior and market dynamics, the system empowers stakeholders to create and deliver content that is timely, relevant, and highly engaging for their target audience.

[0060] Further, the disclosed system may use predictive Al in diverse applications such as stock market prediction, fraud detection, customer churn prediction, supply chain optimization, predictive maintenance, personalized marketing, credit scoring, social credit scoring, energy consumption forecasting, etc. where it analyzes historical data to make informed predictions about future events. These Al-driven insights help industries optimize operations, enhance decision-making, improve customer satisfaction, and increase overall efficiency and effectiveness. Further, the disclosed system may use a holographic projection technology that allows the users to experience digital content in three-dimensional holographic form, creating immersive and captivating viewing experiences for users. Further, the disclosed system may be configured for developing algorithms for generating synthetic data sets that mimic real-world scenarios and conditions, enabling more robust and diverse training of Al models for content analysis, classification, and recommendation. Further, the disclosed system may be configured for establishing space -based content distribution networks (CDNs) using satellite technology to deliver high-speed and low-latency content distribution services globally, ensuring reliable access to digital content in remote areas and during network congestion. Further, the disclosed system may be configured for transmitting and storing digital content data on satellites using traditional and quantum technologies are disclosed. Further, the at least one of the three types of satellites — geostationary (GEO), medium Earth orbit (MEO), and low Earth orbit (LEO) — LEO satellites may be used in storing digital content. In traditional technology embodiments, digital content, comprising audio, visual images, videos, financial data, scientific data, etc. The digital content data is transmitted from a ground station to a satellite via radio frequency (RF) signals, constituting an uplink process. The satellite, equipped with onboard storage such as solid-state drives (SSDs) or non-volatile memory, organizes and securely stores the received data. Subsequently, during a downlink process, the stored data is transmitted back to ground stations using RF signals, whereupon it is captured, processed, and distributed for further utilization.

[0061] Further, the disclosed system may be configured quantum technology embodiments to provide advanced techniques for transmitting and storing digital content on satellites. Quantum communication mechanisms utilize photons to encode quantum information, or qubits, which are transmitted via optical fibers or laser beams. Such methods may incorporate quantum key distribution (QKD) to ensure highly secure transmission by detecting potential eavesdropping attempts. While quantum memory, capable of storing qubits for extended durations aboard satellites. Additionally, hybrid systems combining classical storage with quantum encryption offer secure data storage solutions leveraging traditional memory devices. Quantum teleportation for instantaneous data transmission over long distances via quantum entanglement. These methodologies are entrenched, the integration of quantum technology heralds significant advancements in data security and transmission efficiency, furnishing robust systems for managing digital content in satellite environments.

[0062] Further, the disclosed system may be configured for employing deep learning algorithms to curate and organize digital content automatically based on semantic similarity, context, and user preferences, streamlining content discovery and enhancing user engagement. Further, the disclosed system may be configured for integrating a universal digital wallet that supports multiple cryptocurrencies and fiat currencies, allowing seamless transactions and financial management within the marketplace. Further, the disclosed system may be configured for dynamic Content Packaging and Bundling: Offering dynamic content packaging and bundling options that allow users to customize their content purchases and subscriptions based on their preferences and budget (All financial Securities, art, NFT, real estate, commodities, etc.). This system may be associated with the different Consensus from POA, POW, POS, DPOS, etc. interchangeably. Further, a consensus may be made of human and Al validators.

[0063] Further, the disclosed system may be configured to provide Al-powered content creation tools and templates that assist any user (person or system) in generating high-quality digital assets quickly and efficiently. Further, the disclosed system may include a neural network-based content recommendation engine for implementing a neural network-based recommendation engine that learns from user preferences, behavior patterns, and contextual data to provide highly personalized content recommendations in real-time. Further, the disclosed system may be configured for facilitating blockchain-based Digital Rights Management (DRM) by integrating blockchain technology for secure and transparent digital rights management, enabling content creators to enforce ownership rights, track usage, and receive royalties automatically through smart contracts. Further, the disclosed system may be configured for leveraging quantum computing capabilities to develop ultra-secure encryption methods for protecting digital content against cyber threats and unauthorized access, ensuring maximum data security and confidentiality. Further, the disclosed system may be configured for utilizing Asymmetric, symmetric encryption and decryption as well as any other future technology.

[0064] Further, the disclosed system may be configured for introducing AR-based virtual try-on experiences for digital products such as clothing, accessories, and home decor, allowing users to visualize and interact with items in their physical environment before making a purchase. Further, the disclosed system may be configured to connect sensory feedback devices to user devices that works with the platform. Further, the disclosed system may be configured to adjust sensory stimuli based on user preferences and context and facilitate user interaction with digital content through multisensory feedback. Further, the disclosed system may be configured to enable real-time interaction with multisensory feedback. Further, the disclosed system may be configured to release scents corresponding to digital content or environments. Generate visual, auditory, tactile, gustatory, and olfactory stimuli. Further, the disclosed system may be configured to emit auditory cues and tactile vibrations synchronized with visuals. Further, the disclosed system may be configured to dynamically adjust sensory feedback for optimal user experience. Activate gustatory and olfactory stimulants based on cues and preferences. Capture user feedback and biometric data for assessment. Although not directly related to carbon certificate rights, the disclosed system may be configured for incorporating multisensory interaction features (as discussed earlier) could enhance the user experience within the platform, potentially attracting more participants to engage in carbon credit trading.

[0065] Das digital economy, an exemplary embodiment of the disclosed system herein, facilitates the seamless exchange of various tokens, enabling users to buy, sell, and trade a diverse pool of digital content. Further, the disclosed system may be configured to turn this into a sentence from the DAS that streamlines the exchange of tokens, allowing the users to trade a wide array of digital content in the digital economy. DAS enables the users to exchange tokens representing money-backed securities within the digital economy, DAS may streamline the trading of these securities. Ancillary content may include information about legal frameworks and regulations governing the tokenization of assets in different jurisdictions. This might include discussions on securities laws, property rights, and compliance requirements for issuing and trading tokenized assets. Ancillary content might provide details about technical standards and protocols for tokenizing assets, such as ERC-20 or ERC-721 for Ethereum-based tokens, or other blockchain-specific standards. This information helps users understand the technical aspects of tokenization and interoperability between different platforms. Further, the ancillary Content (Marketplaces and Platforms) may include lists or reviews of tokenization platforms, marketplaces, or service providers that facilitate the issuance, trading, and management of tokenized assets. These resources help users identify trusted partners and tools for executing tokenization projects. Further, the Ancillary Content (Case Studies or Success Stories) showcasing examples of successful tokenization projects in various industries could be considered ancillary content. These examples provide insights into the potential benefits and challenges of tokenization and inspire users to explore similar opportunities. Ancillary Content (Additional Resources) may include links to tokenization libraries or tools, such as NLTK (Natural Language Toolkit) for Python or the Tokenization API provided by various cloud services. These resources go beyond mere explanations and provide practical tools and implementations for users who want to apply tokenization in their projects.

[0066] Further, the disclosed system may be configured for managing multiple types of digital content from multiple sources comprising, identification and verification of a request for authorization of at least one memory device for storing machine-readable instructions. Further, the disclosed system may be configured for identifying artificially enhanced data for managing a digital content framework of a portfolio from a plurality of portfolios. Further, the disclosed system may be configured for receiving and transmission of the digital content, Supplemental Content, Metadata and Descriptive Information, Analytics and Performance Data, Administrative and Management Information, and Feedback and User Interaction Records associated with the identified portfolio. The processing of the artificially enhanced data, regardless of the digital asset class in the portfolio and each value of the digital contents updated and adjusted from the day before and data regarding increases or decreases in incremental income, expenses, and net realized gain or loss for the portfolio and each of the digital assets and for allocating the percentage share that each portfolio holds in the portfolio.

[0067] Further, the disclosed system may be configured to digitally catalog all the assets sort of like a library that’s held in each digital portfolio also the ability to assign a unique certification number to it. Each portfolio may contain 1 to unlimited digital Content classes which could be the same or co-mingled.

[0068] Further, RSA encryption technology Quantum technology blockchain technology, etc. capabilities using photons particles of light may be used to transmit data through a satellite quantum optics communications underwater wireless communication underwater computer network, or any other mediums but limited to . The DAS system may incorporate Al autonomous appraisal of the Digital content to verify its authenticity and value.

[0069] Additionally, the present disclosure describes a Universal Multi-System Integration Platform (UMSIP) designed to provide a scalable, modular foundation that allows multiple independent digital systems and methods to operate on a single platform concurrently. These systems may include, but are not limited to, block chain networks, AL driven services, digital content management tools, financial technology (fin tech) applications, content distribution technologies, identity authentication modules, and supplemental content systems.

[0070] Further, the UMSIP is not intended to recreate or re-claim the operations of these systems, but rather to serve as a governing and enabling framework; a digital infrastructure that facilitates coexistence, interoperability, and orchestration among these otherwise independent technologies.

[0071] In some embodiments, the UMSIP framework may comprise the following foundational elements:

[0072] 1. Dynamic Interoperability Engine - A translation and compatibility service that standardizes communication across disparate systems. This includes harmonizing authentication protocols, data exchange standards, execution rules, and identity structures. This engine may allow Al-based recommendation systems to access metadata from block chain- secured digital content without altering the smart contracts.

[0073] 2. Adaptive Middleware Layer - Analogous to hallways in a shopping mall, this middleware dynamically routes data, permissions, and transactions across integrated systems. It enables real-time data flow between, for instance, a tokenized content platform and a streaming content overlay engine.

[0074] 3. Policy Enforcement and Governance Module - A compliance and security layer that ensures that all cross-system interactions adhere to legal, regulatory, and operational standards. It can enforce jurisdictional access, validate user roles, and apply smart contract- based policies for secure data transfer. 4. Scalable Modular Infrastructure - A flexible architectural base that supports plug- and- play onboarding of both legacy and emerging technologies. This ensures that new tools such as quantum data nodes, AR / VR interfaces, or predictive analytics engines can be integrated without disrupting existing operations.

[0075] 5. Real-Time Arbitration and Orchestration Engine - An Al-powered subsystem that detects and resolves conflicts when multiple systems interact simultaneously (e.g., content distribution and financial settlement occurring at the same time). This engine may manage operational priorities, system load balancing, and transaction queuing.

[0076] Further, in some embodiments, the platform allows for simultaneous use of multiple systems and methods — such as live-streaming with dual cameras, tokenization of content, metadata enrichment using Al, financial micro transactions, and identity authentication — within a singular operational environment. Importantly, the UMSIP acts as a facilitative architecture and does not assert ownership over the native functions of these individual technologies.

[0077] In some embodiments, the Universal Multi-System Integration Platform may be deployed as:

[0078] • A centralized control layer;

[0079] • A decentralized node-based mesh, or a hybrid environment combining both functional coexistence within the UMSIP include:

[0080] • Enabling Al-curated NFT marketplaces that also support live event streaming with Wcb3 payment layers;

[0081] • Allowing healthcare data to be securely verified on a block chain while being analyzed in real time by Al models;

[0082] • Supporting multi-language, cross-border content delivery regulated by compliance modules; and

[0083] • Enabling DeFi applications to operate alongside traditional payment APIs within one governed interface. Further, by introducing this Universal Multi-System Integration Platform as a foundational but optional embodiment, the present disclosure extends its original scope of managing digital content to also include the harmonized execution of diverse technologies within a single platform. This not only reinforces scalability and adaptability but also establishes a new class of digital environments where systems with different purposes, architectures, and governance models can interact safely and efficiently without requiring fundamental changes to their structure or behavior.

[0084] In some embodiments, the present disclosure describes the following seven safe additions with justifications:

[0085] 1. Cross-System Smart Contract Orchestration - The system discusses smart contracts (in NFT minting, marketplaces, Al content curation). This feature simply coordinates existing systems. No new smart contract method is claimed — only their orchestration, which is within the scope of existing block chain and content transaction disclosures.

[0086] 2. Decentralized Identity Passport Layer - The system already supports identity authentication, biometric access, and cross-platform interaction. This is a new application of the already-disclosed identity system across platforms, framed as optional.

[0087] 3. Tokenized Governance Participation - Tokenized ownership, compliance layers, and marketplace governance are already described. The addition does not claim tokenization; it just leverages the existing token logic to allow for voting — already implied in marketplace management.

[0088] 4. Cross-System Content Licensing Layer - The disclosure already discusses DRM, Al metadata generation, and digital rights enforcement. This is an expanded coordination layer for existing content rights within the scope of what’s disclosed.

[0089] 5. Zero-Knowledge Privacy Extensions - The provisional mentions privacy, decentralized ID, and regulatory compliance. ZKPs are framed as a method the platform may optionally support, not a claimed invention. They fall under the privacy and security framework. 6. Edge Computing Compatibility Layer - Edge computing and future tech integration were already explicitly included. This merely clarifies an implementation pathway — not a new feature — within already-mentioned tech like AR / quantum computing.

[0090] 7. Multi- Protocol Negotiation Engine - This is a logical extension of interoperability and translation layers already disclosed; no new protocols are claimed.

[0091] In some embodiments, the present disclosure describes the following aspects:

[0092] 1. A Universal Multi-System Integration Platform, comprising: a. A foundational architecture configured to host and facilitate interaction between multiple independent digital systems; b. A dynamic interoperability engine that standardizes communication between block chain networks, artificial intelligence (Al) models, financial technology (fintech) platforms, and other digital ecosystems without requiring modification of their native structures; c. A multi-layer compatibility framework that allows disparate data formats, security protocols, and execution methods to function within a shared digital space; and d. A policy enforcement module that governs system interactions, ensuring compliance with predefined security, legal, and operational standards.

[0093] 2. A method for enabling multi-system digital coexistence, comprising: a. Receiving and interpreting data from multiple independent digital platforms; b. Utilizing an adaptive translation layer to harmonize data formats and execution protocols; c. Applying a real-time arbitration engine to resolve conflicts between different system operations; and d. Providing an intelligent governance layer that enforces policies, permissions, and interoperability rules for system-to-system transactions.

[0094] 3. A foundational digital architecture for multi-system coexistence, wherein: a. A universal execution layer enables real-time interactions between block chain, Al-driven applications, and fintcch services without requiring direct integration efforts; b. A decentralized middleware framework allows legacy and emerging systems to communicate within a unified digital environment; c. A dynamic asset routing mechanism facilitates seamless asset transfer, data validation, and service execution across disparate digital platforms; and d. A modular expansion interface permits the integration of new technologies without disrupting existing system interactions.

[0095] Further, in some embodiments, the interoperability engine utilizes machine learning models to optimize system interactions, such as adjusting block chain transaction throughput based on real-time Al predictions of network congestion.

[0096] Further, in some embodiments, on-chain and off-chain systems securely interact using a Block chain-agnostic communication protocol, such as enabling fiat-to-crypto conversion. Further, digital identity verification is managed through an Al-enhanced compliance layer that standardizes authentication methods across multiple platforms, such as DeFi, social media, and e-commerce.

[0097] In some embodiments, the present disclosure describes a system configured for concurrent multi-user digital content creation and streaming across a plurality of networks, including synchronization of shared supplemental content and metadata.

[0098] In some embodiments, the present disclosure describes a real-time monetization module configured to automate digital asset revenue sharing among platform participants via blockchainbased smart contracts.

[0099] In some embodiments, the present disclosure describes a predictive engine for analyzing user engagement across multiple platforms and dynamically adjusting content delivery based on audience behavior in real time.

[0100] In some embodiments, the present disclosure describes an interface adaptation module configured to harmonize user interfaces across device types and platforms based on real-time context and user roles. In some embodiments, the present disclosure describes a distributed ledger-based system for storing and verifying user consent, identity authentication, and regulatory compliance checkpoints.

[0101] In some embodiments, the present disclosure describes a hybrid streaming protocol that enables asynchronous or delayed content to be distributed through a real-time engagement interface.

[0102] In some embodiments, the present disclosure describes a system for issuing portable digital content licenses and metadata assets transferable across platforms using tokenization protocols.

[0103] In some embodiments, the present disclosure describes an arbitration engine that employs artificial intelligence to resolve interoperability conflicts and adapt disparate protocol requirements in real time.

[0104] In some embodiments, the present disclosure describes a compliance module that dynamically enforces regulatory, legal, and operational policies across interconnected systems and geographic regions.

[0105] In some embodiments, the present disclosure describes a tokenized digital rights management system configured to assign, transfer, and fractionally license digital content and supplemental assets across integrated platforms.

[0106] In some embodiments, the present disclosure describes a decentralized identity passport system configured to authenticate users and manage access roles across multiple platforms using a portable identity profile.

[0107] In some embodiments, the present disclosure describes a computational layer that allows modular integration with edge devices and quantum computing nodes to enhance performance and decentralization.

[0108] In some embodiments, the present disclosure describes a platform enabling simultaneous coordination of decentralized identity, financial ledgers, and Al-driven services in a unified system.

[0109] In some embodiments, the present disclosure describes an Al-based arbitration module configured to resolve transactional or permission conflicts between disparate subsystems in real time. In some embodiments, the present disclosure describes a compliance framework that monitors and enforces jurisdictional and policy-based rules for interconnected digital services.

[0110] In some embodiments, the present disclosure describes a monetization engine using blockchain smart contracts for revenue sharing, licensing, and on-chain settlements.

[0111] In some embodiments, the present disclosure describes a hybrid delivery system supporting both real-time and asynchronous content transmission with integrity checks.

[0112] In some embodiments, the present disclosure describes a portable identity passport that supports authentication and access control across multiple systems and jurisdictions.

[0113] In some embodiments, the present disclosure describes a supplemental content engine configured to layer annotations, metadata, and augmented visual / audio elements onto live or recorded streams.

[0114] In some embodiments, the present disclosure describes an infrastructure layer supporting integration with edge nodes and quantum computing units for distributed processing.

[0115] In some embodiments, the present disclosure describes a federated trust system for governing access, modification, and auditability of data across independently controlled digital ecosystems.

[0116] In some embodiments, the present disclosure describes a process orchestration engine enabling real-time multi-party collaboration using smart contracts and permissioned triggers across integrated systems.

[0117] FIG. 1 is an illustration of an online platform 100 consistent with various embodiments of the present disclosure. By way of non-limiting example, the online platform 100 may be hosted on a centralized server 102, such as, for example, a cloud computing service. The centralized server 102 may communicate with other network entities, such as, for example, a mobile device 106 (such as a smartphone, a laptop, a tablet computer, etc.), other electronic devices 110 (such as desktop computers, server computers, etc.), databases 114, and sensors 116 over a communication network 104, such as, but not limited to, the Internet. Further, users of the online platform 100 may include relevant parties such as, but not limited to, end-users, administrators, service providers, service consumers and so on. Accordingly, in some instances, electronic devices operated by the one or more relevant parties may be in communication with the platform.

[0118] A user 112, such as the one or more relevant parties, may access online platform 100 through a web-based software application or browser. The web-based software application may be embodied as, for example, but not be limited to, a website, a web application, a desktop application, and a mobile application compatible with a computing device 200.

[0119] With reference to FIG. 2, a system consistent with an embodiment of the disclosure may include a computing device or cloud service, such as computing device 200. In a basic configuration, computing device 200 may include at least one processing unit 202 and a system memory 204. Depending on the configuration and type of computing device, system memory 204 may comprise, but is not limited to, volatile (e.g., random-access memory (RAM)), nonvolatile (e.g., read-only memory (ROM)), flash memory, or any combination. System memory 204 may include operating system 205, one or more programming modules 206, and may include a program data 207. Operating system 205, for example, may be suitable for controlling computing device 200’ s operation. In one embodiment, programming modules 206 may include image-processing module, machine learning module. Furthermore, embodiments of the disclosure may be practiced in conjunction with a graphics library, other operating systems, or any other application program and is not limited to any particular application or system. This basic configuration is illustrated in FIG. 2 by those components within a dashed line 208.

[0120] Computing device 200 may have additional features or functionality. For example, computing device 200 may also include additional data storage devices (removable and / or nonremovable) such as, for example, magnetic disks, optical disks, or tape. Such additional storage is illustrated in FIG. 2 by a removable storage 209 and a non-removable storage 210. Computer storage media may include volatile and non-volatile, removable and non-removable media implemented in any method or technology for storage of information, such as computer-readable instructions, data structures, program modules, or other data. System memory 204, removable storage 209, and non-removable storage 210 are all computer storage media examples (i.e., memory storage.) Computer storage media may include, but is not limited to, RAM, ROM, electrically erasable read-only memory (EEPROM), flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store information and which can be accessed by computing device 200. Any such computer storage media may be part of device 200. Computing device 200 may also have input device(s) 212 such as a keyboard, a mouse, a pen, a sound input device, a touch input device, a location sensor, a camera, a biometric sensor, etc. Output device(s) 214 such as a display, speakers, a printer, etc. may also be included. The aforementioned devices are examples and others may be used.

[0121] Computing device 200 may also contain a communication connection 216 that may allow device 200 to communicate with other computing devices 218, such as over a network in a distributed computing environment, for example, an intranet or the Internet. Communication connection 216 is one example of communication media. Communication media may typically be embodied by computer readable instructions, data structures, program modules, or other data in a modulated data signal, such as a carrier wave or other transport mechanism, and includes any information delivery media. The term “modulated data signal” may describe a signal that has one or more characteristics set or changed in such a manner as to encode information in the signal. By way of example, and not limitation, communication media may include wired media such as a wired network or direct-wired connection, and wireless media such as acoustic, radio frequency (RF), infrared, and other wireless media. The term computer readable media as used herein may include both storage media and communication media.

[0122] As stated above, a number of program modules and data files may be stored in system memory 204, including operating system 205. While executing on processing unit 202, programming modules 206 (e.g., application 220 such as a media player) may perform processes including, for example, one or more stages of methods, algorithms, systems, applications, servers, databases as described above. The aforementioned process is an example, and processing unit 202 may perform other processes. Other programming modules that may be used in accordance with embodiments of the present disclosure may include machine learning applications.

[0123] Generally, consistent with embodiments of the disclosure, program modules may include routines, programs, components, data structures, and other types of structures that may perform particular tasks or that may implement particular abstract data types. Moreover, embodiments of the disclosure may be practiced with other computer system configurations, including hand-held devices, general purpose graphics processor-based systems, multiprocessor systems, microprocessor-based or programmable consumer electronics, application specific integrated circuit-based electronics, minicomputers, mainframe computers, and the like. Embodiments of the disclosure may also be practiced in distributed computing environments where tasks arc performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote memory storage devices.

[0124] Furthermore, embodiments of the disclosure may be practiced in an electrical circuit comprising discrete electronic elements, packaged or integrated electronic chips containing logic gates, a circuit utilizing a microprocessor, or on a single chip containing electronic elements or microprocessors. Embodiments of the disclosure may also be practiced using other technologies capable of performing logical operations such as, for example, AND, OR, and NOT, including but not limited to mechanical, optical, fluidic, and quantum technologies. In addition, embodiments of the disclosure may be practiced within a general-purpose computer or in any other circuits or systems.

[0125] Embodiments of the disclosure, for example, may be implemented as a computer process (method), a computing system, or as an article of manufacture, such as a computer program product or computer readable media. The computer program product may be a computer storage media readable by a computer system and encoding a computer program of instructions for executing a computer process. The computer program product may also be a propagated signal on a carrier readable by a computing system and encoding a computer program of instructions for executing a computer process. Accordingly, the present disclosure may be embodied in hardware and / or in software (including firmware, resident software, micro-code, etc.). In other words, embodiments of the present disclosure may take the form of a computer program product on a computer-usable or computer-readable storage medium having computer-usable or computer-readable program code embodied in the medium for use by or in connection with an instruction execution system. A computer-usable or computer-readable medium may be any medium that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.

[0126] The computer-usable or computer-readable medium may be, for example but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, device, or propagation medium. More specific computer-readable medium examples (a non-exhaustive list), the computer-readable medium may include the following: an electrical connection having one or more wires, a portable computer diskette, a random-access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, and a portable compact disc read-only memory (CD-ROM). Note that the computer-usahle or computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted, or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.

[0127] Embodiments of the present disclosure, for example, arc described above with reference to block diagrams and / or operational illustrations of methods, systems, and computer program products according to embodiments of the disclosure. The functions / acts noted in the blocks may occur out of the order as shown in any flowchart. For example, two blocks shown in succession may in fact be executed substantially concurrently or the blocks may sometimes be executed in the reverse order, depending upon the functionality / acts involved.

[0128] While certain embodiments of the disclosure have been described, other embodiments may exist. Furthermore, although embodiments of the present disclosure have been described as being associated with data stored in memory and other storage mediums, data can also be stored on or read from other types of computer-readable media, such as secondary storage devices, like hard disks, solid state storage (e.g., USB drive), or a CD-ROM, a carrier wave from the Internet, or other forms of RAM or ROM. Further, the disclosed methods’ stages may be modified in any manner, including by reordering stages and / or inserting or deleting stages, without departing from the disclosure.

[0129] FIG. 3A and FIG. 3B illustrate a flowchart of a method 300 of facilitating protocolagnostic interoperability between multiple digital systems , in accordance with some embodiments.

[0130] Accordingly, the method 300 may include a step 304 of receiving, using the communication device 802, a system interaction data from a transaction origin device. Further, the method 300 may include a step 306 of analyzing, using a processing device 804, the system metadata to determine one or more communication rules of a first digital system. Further, the method 300 may include a step 308 of analyzing, using the processing device 804, the system metadata to determine one or more communication rules of a second digital system. Further, the method 300 may include a step 310 of transforming, using the processing device 804, the system interaction data based on the communication rule of the first digital system and the communication rule of the second digital system to generate an interoperable data. Further, the method 300 may include a step 312 of storing, using a storage device 806, the interoperable data. Further, the method 300 may include a step 314 of transmitting, using the communication device 802, the interoperable data to the second digital system.

[0131] FIG. 4 illustrates a flowchart of a method 400 of facilitating protocol-agnostic interoperability between multiple digital systems including receiving, using the communication device 802, a metadata information from the transaction origin device, in accordance with some embodiments.

[0132] Further, in some embodiments, the method 400 further may include a step 402 of receiving, using the communication device 802, a metadata information from the transaction origin device. Further, in some embodiments, the method 400 further may include a step 404 of storing, using the storage device 806, the metadata information in association with the interoperable data.

[0133] FIG. 5 illustrates a flowchart of a method 500 of facilitating protocol-agnostic interoperability between multiple digital systems including determining, using the processing device 804, a transaction priority data associated with the system interaction data, in accordance with some embodiments.

[0134] Further, in some embodiments, the method 500 further may include a step 502 of determining, using the processing device 804, a transaction priority data associated with the system interaction data. Further, in some embodiments, the method 500 further may include a step 504 of storing, using the storage device 806, the transaction priority data in association with the interoperable data.

[0135] Further, in some embodiments, the method 300 further may include verifying, using the processing device 804, a compliance status of the interoperable data based on a predefined policy data.

[0136] In some embodiments, the transforming of the system interaction data further includes enforcing, using the processing device 804, a role-based rule derived from the system metadata.

[0137] In some embodiments, the method 300 may further include detecting, using the processing device 804, an interaction conflict based on a mismatch between the communication rule of the first digital system and the communication rule of the second digital system. FIG. 6 illustrates a flowchart of a method 600 of facilitating protocol-agnostic interoperability between multiple digital systems including generating, using the processing device 804, a harmonization log, in accordance with some embodiments.

[0138] Further, in some embodiments, the method 600 further may include a step 602 of generating, using the processing device 804, a harmonization log based on the transformation of the system interaction data. Further, in some embodiments, the method 600 further may include a step 604 of storing, using the storage device 806, the harmonization log in association with the interoperable data.

[0139] In some embodiments, the method 300 may further include attaching, using the processing device 804, a condition data to the interoperable data, the condition data being defined by a smart contract logic.

[0140] In some embodiments, the method 300 may further include determining, using the processing device 804, a redundancy status of the interoperable data based on a comparison with a previously stored interoperable data.

[0141] FIG. 7 illustrates a flowchart of a method 700 of facilitating protocol-agnostic interoperability between multiple digital systems including identifying, using the processing device 804, an origin data representing a source digital system of the system interaction data, in accordance with some embodiments.

[0142] Further, in some embodiments, the method 700 further may include a step 702 of identifying, using the processing device 804, an origin data representing a source digital system of the system interaction data. Further, in some embodiments, the method 700 further may include a step 704 of storing, using the storage device 806, the origin data in association with the interoperable data.

[0143] FIG. 8 illustrates a block diagram of the system of facilitating protocol-agnostic interoperability between multiple digital systems, in accordance with some embodiments.

[0144] Accordingly, the communication device 802 may be configured for receiving a system metadata from a system 800 interface device. Further, the communication device 802 may be configured for receiving a system interaction data from a transaction origin device. Further, the communication device 802 may be configured for transmitting an interoperable data to a second digital system. Further, the system 800 may include a processing device 804 communicatively coupled with the communication device 802. Further, the processing device 804 may be configured for analyzing the system metadata to determine one or more communication rules of a first digital system. Further, the processing device 804 may be configured for analyzing the system metadata to determine one or more communication rules of a second digital system. Further, the processing device 804 may be configured for transforming the system interaction data based on the communication rule of the first digital system and the communication rule of the second digital system to generate the interoperable data. Further, the system 800 may include a storage device 806 communicatively coupled with the processing device 804. Further, the storage device 806 may be configured for storing the interoperable data.

[0145] In some embodiments, the communication device 802 may be further configured for receiving a metadata information from the transaction origin device. Further, the storage device 806 may be further configured for storing the metadata information in association with the interoperable data.

[0146] In some embodiments, the processing device 804 may be further configured for determining a transaction priority data associated with the system interaction data. Further, the storage device 806 may be further configured for storing the transaction priority data in association with the interoperable data.

[0147] In some embodiments, the processing device 804 may be further configured for verifying a compliance status of the interoperable data based on a predefined policy data.

[0148] In some embodiments, the processing device 804 may be further configured for enforcing a role-based rule derived from the system metadata during the transformation of the system interaction data.

[0149] In some embodiments, the processing device 804 may be further configured for detecting an interaction conflict based on a mismatch between the communication rule of the first digital system and the communication rule of the second digital system.

[0150] In some embodiments, the processing device 804 may be further configured for generating a harmonization log based on the transformation of the system interaction data. Further, the storage device 806 may be further configured for storing the harmonization log in association with the interoperable data.

[0151] In some embodiments, the processing device 804 may be further configured for attaching a condition data to the interoperable data, the condition data being defined by a smart contract logic. In some embodiments, the processing device 804 may be further configured for determining a redundancy status of the interoperable data based on a comparison with a previously stored interoperable data.

[0152] In some embodiments, the processing device 804 may be further configured for identifying an origin data representing a source digital system of the system interaction data. Further, the storage device 806 may be further configured for storing the origin data in association with the interoperable data.

[0153] Further disclosed is a method for facilitating managing digital content using blockchain, in accordance with some embodiments. Accordingly, the method may include receiving, using a communication device, at least one digital content data associated with at least one digital content from at least one user device associated with at least one user. Further, the at least one user device may include a smartphone, a tablet, a laptop, etc. Further, the at least one digital content data may include an image, an audio, an audio video, a video, etc. Further, the at least one digital content data may include ownership information associated with the at least one digital content. Further, the ownership information may include a name of at least one owner, an identifier of the at least one owner, an email address of the at least one owner, etc. Further, the at least owner may own at least a part of the at least one digital content.

[0154] Further, the method may include generating, using a processing device, at least one content meta data associated with the at least one digital content based on the at least one digital content data. Further, at least one content meta data may include details such as creator information, creation date, and unique identifiers.

[0155] Further, the method may include processing, using the processing device, the at least one content meta data.

[0156] Further, the method may include generating, using the processing device, at least one non-fungible token corresponding to the at least one digital content based on the processing of the at least one content meta data.

[0157] Further, the method may include minting, using the processing device, the at least one non-fungible token on a distributed ledger.

[0158] Further, the method may include obtaining, using the processing device, at least one marketplace data associated with a marketplace. Further, the at least one marketplace data may include content data associated with a plurality of non-fungible tokens corresponding to a plurality of digital contents that may be crcatcd / owncd by a plurality of users.

[0159] Further, the method may include updating, using the processing device, the at least one marketplace data based on the at least one non-fungible token.

[0160] Further, the method may include generating, using the processing device, at least one updated marketplace data based on the updating. Further, the at least one marketplace data may include the at least one marketplace data.

[0161] Further, the method may include storing, using a storage device, the at least one updated marketplace data in the distributed ledger.

[0162] Further, in some embodiments, the obtaining of the at least one marketplace data may include retrieving the at least one marketplace data from the distributed ledger.

[0163] Further, in some embodiments, the method may include receiving, using the communication device, a purchase request from at least one second user device associated with at least one second user. Further, the at least one second user may include an individual, an institution, and an organization that may want to purchase the at least one digital content. Further, the purchase request may include a content query comprising a content name, content creator name, etc. associated with at least one desired digital content that the at least one second user may want to purchase, possess, and / or stream (or render).

[0164] Further, the method may include transmitting, using the communication device, the at least one marketplace data to the at least one second user device based on the purchase request.

[0165] Further, the method may include receiving, using the communication device, a selection corresponding to the at least one desired digital content from the at least one second user device. Further, the selection may include a content identifier associated with the at least one desired digital content.

[0166] Further, the method may include transmitting, using the communication device, at least one desired digital content data associated with the at least one desired digital content to the at least one second user device. Further, the at least one desired digital content data may include a content audio, a content video, a content audio video, a content image, a content text, a content price, etc. Further, the method may include receiving, using the communication device, a payment information corresponding to the at least one desired content from the at least one second user device.

[0167] Further, the method may include processing, using the processing device, a transaction based on the payment information and the at least one desired digital content data.

[0168] Further, the method may include generating, using the processing device, a transaction confirmation based on the processing of the transaction.

[0169] Further, the method may include storing, using the storage device, the payment information, the transaction confirmation, the purchase request, and the selection in the distributed ledger.

[0170] Further disclosed, is a method for facilitating managing digital content using blockchain, in accordance with some embodiments. Accordingly, the method may include receiving, using the communication device, at least one user data from the at least one user device. Further, the at least one user data may include at least one user interest, a lifestyle information associated with a lifestyle of the least value user, at least one user web browsing history, at least one user professional details associated with the professional of at least one user, etc.

[0171] Further, the method may include analyzing, using the processing device, the at least one user data using at least one artificial intelligence model. Further, the analyzing of the at least one user data may include analyzing the at least one user data based on at least one reference data. Further, the at least one reference data may be provided by at least one organization. Further, the at least one organization may include an e-commerce platform, a market analyst, etc. Further, the at least one reference data may include a content idea, a content text, a content streaming duration, a content video, a content audio, etc. associated with at least one trending content that may be trending or may have a demand in a particular industry. Further, in some embodiments, the at least one reference data may be provided by at least one third user comprising an individual, an institution, and an organization that may host / own / manage a marketplace for trading the at least one trending content (or trending digital content). Further, the at least one reference data may include a demand data provided by the at least one third user. Further, the demand data may indicate a willingness / demand of a plurality of users purchase / possess / view / stream the at least one trending content. Further, the method may include generating, using the processing device, at least one content recommendation based on the analyzing of the at least one user data. Further, the at least one content recommendation may include a content information that maybe preferred and / or related to the at least one user. Further, the content information may include a content text, a content video, a content audio, a content image, etc.

[0172] Further, the method may include transmitting, using the communication device, the at least one content recommendation to the at least user device.

[0173] Further, the method may include storing, using the storage device, at least one user data and the at least one content recommendation in the distributed ledger. Although the invention has been explained in relation to its preferred embodiment, it is to be understood that many other possible modifications and variations can be made without departing from the spirit and scope of the invention as hereinafter claimed.

Claims

AMENDED CLAIMS received by the International Bureau on 15 October 2025 (15.10.2025)

1. A method of enabling protocol-agnostic interoperability across heterogeneous multiple digital systems, the method comprising: receiving, via a communication device, a system-metadata from a system-interface device, wherein the system-metadata comprises protocol identifiers, geolocation tags, and system configuration data; receiving, via the communication device, a system-interaction data from a transaction origin device; analyzing, using a processing device, the system-metadata to determine at least one communication rule of a first digital system and at least one communication rule of a second digital system concurrently participating in the interoperability process; determining, using the processing device, at least one applicable jurisdictional governance policy for each of the first digital system and the second digital system by parsing the geolocation tags and mapping the geolocation tags to a jurisdiction-specific ruleset stored in a governance policy repository; transforming, using the processing device, the systeminteraction data into interoperable data according to the at least one communication rule of the first digital system and the at least one communication rule of the second digital system based on the at least one applicable jurisdictional governance policy using a protocol translation and compliance enforcement engine, wherein the transformation further comprises protocol translation, schema harmonization, enforcement of policy-based constraints, role-based access controls, and smart contract execution conditions, wherein the enforcement of a jurisdictional governance policy occurs at any stage of the interoperability process; orchestrating, using the processing device, simultaneous data exchange and coordinated operations between the first digital system, the second digital system, and at least one additional digital system of a different protocol class, whereinthe orchestrating comprises executing an ordered execution process to ensure ordered and conflict-free execution across systems; storing, using a storage device, the interoperable data together with an audit or harmonization log in any form, comprising cryptographically linked logs and origin identifier; and transmitting, via the communication device, the interoperable data to the second digital system and the at least one additional digital system.

2. The method of claim 1 further comprising: receiving, via the communication device, a metadata information from the transaction origin device, wherein the metadata information comprises transaction identifiers, origin authentication tokens, and content type descriptors; and storing, using the storage device, the metadata information in association with the interoperable data by generating a cryptographically hashed linkage between the metadata information and a unique interoperability record ID, wherein such association is implemented in any form that maintains interoperability and compliance at any stage of the process.

3. The method of claim 1 further comprising: determining, using the processing device, a transaction priority data by executing a priority determination algorithm that evaluates origin system classification, jurisdictional urgency codes, and service-level agreement parameters; and storing, using the storage device, the transaction priority data in association with the interoperable data for use by a scheduling and dispatch engine, wherein the determination is performed at any relevant stage of the interoperability process.

4. The method of claim 1 further comprising verifying, using a compliance-verification engine of the processing device, a compliance status of the interoperable data by matching the interoperable data against a jurisdiction-specific compliance ruleset stored in a governance policy repository, wherein verification results are recorded in an interoperability audit log, wherein the verification occurs before, during, or after transformation.

5. The method of claim 1 , wherein the transforming of the system-interaction data further comprises enforcing, using the processing device, a role-based rule derived from the systemmetadata during the transformation of the system-interaction data by querying an access-control matrix stored in a secure database and validating access via a cryptographic signature check, wherein the enforcement occurs at any stage of the interoperability process.

6. The method of claim 1 further comprising detecting, using the processing device, an interaction conflict by comparing the at least one communication rule of the first digital system and the at least one communication rule of the second digital systems within a conflict-detection module that applies a difference hashing algorithm to identify protocol mismatches; and resolving the detected interaction conflict in real time by invoking a conflict-arbitration engine configured to select and apply a resolution strategy comprising at least one of: automatic protocol conversion, dynamic schema remapping, or fallback routing to an alternative destination system, or manual override.

7. The method of claim 1 further comprising: generating, using the processing device, a harmonization log comprising pre-transformation metadata snapshots and posttransformation metadata snapshots, each timestamped and hashed for immutability or any other form of interoperability- related log; and storing, using the storage device, the harmonization log in association with the interoperable data.

8. The method of claim 1 further comprising attaching, using the processing device, a condition data to the interoperable data, wherein the condition data being encoded as a compiled smart contract bytecode package validated and executed on a blockchain network node or other executable logic.

9. The method of claim 1 further comprising determining, using the processing device, a redundancy status of the interoperable data by comparing a hash value of the interoperable data to a set of previously stored interoperable data hashes in a redundancy-detection module; and upondetecting a redundant interoperability record, executing a self- healing routine, wherein detection alone constitutes fulfillment of this step regardless of whether self-healing is performed that merges duplicate records, purges superseded entries, and updates associated audit log entries while preserving cryptographic link integrity.

10. The method of claim 1 further comprising: identifying, using the processing device, an origin data representing a source digital system of the system-interaction data by extracting unique system identifiers from the systemmetadata; and storing, using the storage device, the origin data in association with the interoperable data, wherein the identification occurs at any stage of the process, and recording the association in an interoperability audit log.

11. A system for enabling protocol-agnostic interoperability across heterogeneous multiple digital systems, the system comprising: a communication device configured to: receive a system-metadata from a system interface device, wherein the system-metadata comprises protocol identifiers, geolocation tags, and system configuration data; receive a system-interaction data from a transaction origin device; and transmit an interoperable data to a second digital system and at least one additional digital system; a processing device communicatively coupled with the communication device, wherein the processing device is configured to: analyze the system-metadata to determine at least one communication rule of a first digital system and at least one communication rule of a second digital system concurrently participating in the interoperability process; determine at least one applicable jurisdictional governance policy for each of the first digital system and the second digital system by parsing the geolocation tags and mapping the geolocation tags to a jurisdiction-specific ruleset stored in a governance policy repository;transform the system-interaction data into interoperable data according to the at least one communication rule of the first digital system and the at least one communication rule of the second digital system based on the at least one applicable jurisdictional governance policy using a protocol translation and compliance enforcement engine, wherein the transformation further comprises protocol translation, schema harmonization, enforcement of policy-based constraints, role-based access controls, and smart contract execution conditions, wherein the enforcement of a jurisdictional governance policy occurs at any stage of the interoperability process; and orchestrate simultaneous data exchange and coordinated operations between the first digital system, the second digital system, and the at least one additional digital system of a different protocol class, wherein the orchestrating comprises executing an ordered execution process to ensure ordered and conflict-free execution across systems; and a storage device communicatively coupled with the processing device, wherein the storage device is configured to store the interoperable data to the second digital system and the at least one additional digital system.

12. The system of claim 11 , wherein the communication device is further configured to receive a metadata information from the transaction origin device, wherein the metadata information comprises transaction identifiers, origin authentication tokens, and content type descriptors, wherein the storage device is further configured to store the metadata information in association with the interoperable data by generating a cryptographically hashed linkage between the metadata information and a unique interoperability record ID, wherein such association is implemented in any form that maintains interoperability and compliance at any stage of the process.

13. The system of claim 11 , wherein the processing device is further configured to determine a transaction priority data by executing a priority determination algorithm that evaluates origin system classification, jurisdictional urgency codes, and service-level agreement parameters, wherein the storagedevice is further configured to store the transaction priority data in association with the interoperable data for use by a scheduling and dispatch engine, wherein the determination is performed at any relevant stage of the interoperability process.

14. The system of claim 11 , wherein a compliance-verification engine of the processing device is further configured to verify a compliance status of the interoperable data by matching the interoperable data against a jurisdiction-specific compliance ruleset stored in a governance policy repository, wherein verification results are recorded in an interoperability audit log, wherein the verification occurs before, during, or after transformation.

15. The system of claim 11 , wherein the transforming of the system-interaction data comprises enforcing a role-based rule derived from the system-metadata during the transformation of the system-interaction data during the transformation of the system-interaction data by querying an access-control matrix stored in a secure database and validating access via a cryptographic signature check by the processing device, wherein the enforcement occurs at any stage of the interoperability process.

16. The system of claim 11 , wherein the processing device is further configured to detect an interaction conflict by comparing the at least one communication rule of the first digital system and the at least one communication rule of the second digital systems within a conflict-detection module that applies a difference hashing algorithm to identify protocol mismatches; and resolving the detected interaction conflict in real time by invoking a conflict-arbitration engine configured to select and apply a resolution strategy comprising at least one of: automatic protocol conversion, dynamic schema remapping, or fallback routing to an alternative destination system, or manual override.

17. The system of claim 11 , wherein the processing device is further configured to generate a harmonization log comprising pre-transformation metadata snapshots and posttransformation metadata snapshots, each timestamped and hashed for immutability or any other form of interoperability-related log, wherein the storage device is further configured to store the harmonization log in association with the interoperable data.

18. The system of claim 11 , wherein the processing device is further configured to attach a condition data to the interoperable data, wherein the condition data being encoded as a compiled smart contract bytecode package validated and executed on a blockchain network node or other executable logic.

19. The system of claim 11 , wherein the processing device is further configured to determine a redundancy status of the interoperable data by comparing a hash value of the interoperable data to a set of previously stored interoperable data hashes in a redundancy-detection module; and upon detecting a redundant interoperability record, executing a self- healing routine, wherein detection alone constitutes fulfillment of this step regardless of whether self-healing is performed that merges duplicate records, purges superseded entries, and updates associated audit log entries while preserving cryptographic link integrity.

20. The system of claim 11 , wherein the processing device is further configured to identify an origin data representing a source digital system of the system-interaction data by extracting unique system identifiers from the system-metadata, wherein the storage device is further configured to store the origin data in association with the interoperable data, wherein the identification occurs at any stage of the process, and recording the association in an interoperability audit log.

21. The method of claim 10 further comprising utilizing, within a universal execution layer, quantum-secure communication and encryption protocols together with quantum-assisted arbitration routines to strengthen cross-protocol synchronization, integrity, and compliance of the interoperable data across the heterogeneous multiple digital systems.

22. The system of claim 20, wherein the processing device and the communication device are configured to use quantum- secure interoperability and quantum-assisted arbitration mechanisms within a universal execution layer to ensuretamper-resistant synchronization and compliant exchange between on-chain and off-chain systems.

Images