1. A system (100) for preservation of multimedia information associated with endangered languages, the system (100) comprising: a processor (110), and; a storage medium (112) in communication with the processor (110) and storing instructions executable by the processor (110), characterized in that the processor (110) is configured to: identify multimedia data associated with the endangered languages from heterogeneous data sources including digital platforms and community inputs; collect the multimedia data comprising audio, video, textual, and image-based content; process the multimedia data to detect language-specific attributes and dialect variations; convert the multimedia data into structured formats through transcription and content extraction; establish relationships between processed multimedia data using contextual and semantic associations; store the processed multimedia data in an integrated repository; and provide access to the stored multimedia data through a computer application (104) for retrieval and utilization.

2. The system (100) as claimed in claim 1, wherein the processor (110) is configured to identify keywords associated with the endangered languages for retrieval of relevant multimedia data.

3. The system (100) as claimed in claim 1, wherein the processor (110) is configured to process multimedia data using language detection models trained on regional dialects.

4. The system (100) as claimed in claim 1, wherein the conversion of multimedia data includes speech-to-text transcription and optical character recognition of textual content.

5. The system (100) as claimed in claim 1, wherein the processor (110) is configured to establish semantic relationships between multimedia data based on cultural, geographical, and linguistic context.

6. The system (100) as claimed in claim 1, wherein the processor (110) is configured to update the integrated repository upon receipt of new multimedia data.

7. The system (100) as claimed in claim 1, wherein the processor (110) is configured to enable search and retrieval of multimedia data through multilingual indexing.

8. The system (100) as claimed in claim 1, wherein the processor (110) is configured to provide offline access to the stored multimedia data.

9. The system (100) as claimed in claim 1, wherein the processor (110) is configured to validate multimedia data through community-based inputs.

10. A method (300) for preservation of multimedia information associated with endangered languages, the method (300) is characterized by steps of: identifying multimedia data associated with the endangered languages from heterogeneous data sources including digital platforms and community inputs; collecting the multimedia data comprising audio, video, textual, and image-based content; processing the multimedia data to detect language-specific attributes and dialect variations; converting the multimedia data into structured formats through transcription and content extraction; establishing relationships between processed multimedia data using contextual and semantic associations; storing the processed multimedia data in an integrated repository; and providing access to the stored multimedia data through a computer application (104) for retrieval and utilization. Date: May 14, 2026 Place: Noida Nainsi Rastogi Patent Agent (IN/PA-2372) Agent for the Applicant

Description:BACKGROUND
Field of Invention
[001] Embodiments of the present invention generally relate to a system for endangered languages and particularly to a system for preservation of multimedia information associated with endangered languages.
Description of Related Art
[002] Kerala hosts several endangered languages that tribal communities such as Paniya, Kurichiya, and Malapandaram communities speak. Each language carries cultural knowledge in the form of oral traditions, folk songs, rituals, and historical narratives. This knowledge exists in fragmented formats across videos, audio recordings, manuscripts, and textual documents. No unified mechanism exists that collects, organizes, or preserves such diverse multimedia content. The absence of structured preservation leads to rapid loss of linguistic and cultural heritage as native speakers decline and language shift towards dominant languages occurs.
[003] Current practices rely on manual documentation efforts and basic digital storage systems. Organizations such as Centre for Endangered Languages of Kerala conduct field research and create limited archives. Government initiatives such as Scheme for Protection and Preservation of Endangered Languages maintain repositories like Sanchika repository that store selected audio and video samples. International platforms such as Endangered Languages Archive provide digital storage for language resources. General platforms such as YouTube and Google Drive serve as informal storage tools for multimedia content.
[004] These existing approaches suffer from multiple limitations. Manual collection requires extensive human effort and lacks scalability across diverse sources. Archival systems remain static and fail to establish meaningful relationships between multimedia elements such as audio, text, and cultural context. General-purpose platforms do not support structured linguistic preservation and lack domain-specific processing capabilities. Limited accessibility, absence of integration, and lack of automated organization prevent comprehensive preservation of endangered languages, thereby accelerating information loss and reducing usability for research and revitalization efforts.
[005] There is thus a need for an improved and advanced system for preservation of multimedia information associated with endangered languages that can administer the aforementioned limitations in a more efficient manner.
SUMMARY
[006] Embodiments in accordance with the present invention provide a system for preservation of multimedia information associated with endangered languages. The system comprising a processor. The system further comprising a storage medium in communication with the processor and storing instructions executable by the processor. The processor is configured to identify multimedia data associated with the endangered languages from heterogeneous data sources including digital platforms and community inputs; collect the multimedia data comprising audio, video, textual, and image-based content; process the multimedia data to detect language-specific attributes and dialect variations; convert the multimedia data into structured formats through transcription and content extraction; establish relationships between processed multimedia data using contextual and semantic associations; store the processed multimedia data in an integrated repository; and provide access to the stored multimedia data through a computer application for retrieval and utilization.
[007] Embodiments in accordance with the present invention further provide a method for preservation of multimedia information associated with endangered languages. The method comprising steps of identifying multimedia data associated with the endangered languages from heterogeneous data sources including digital platforms and community inputs; collecting the multimedia data comprising audio, video, textual, and image-based content; processing the multimedia data to detect language-specific attributes and dialect variations; converting the multimedia data into structured formats through transcription and content extraction; establishing relationships between processed multimedia data using contextual and semantic associations; storing the processed multimedia data in an integrated repository; and providing access to the stored multimedia data through a computer application for retrieval and utilization.
[008] Embodiments of the present invention may provide a number of advantages depending on their particular configuration. First, embodiments of the present application may provide a system for preservation of multimedia information associated with endangered languages.
[009] Next, embodiments of the present application may provide a system that reduces fragmentation of multimedia linguistic data through centralized aggregation.
[0010] Next, embodiments of the present application may provide a system that enables automated identification and processing of low-resource dialect content with improved accuracy.
[0011] Next, embodiments of the present application may provide a system that establishes dynamic relationships between multimedia elements to enhance contextual understanding.
[0012] Next, embodiments of the present application may provide a system that supports continuous updates and real-time expansion of language resources.
[0013] Next, embodiments of the present application may provide a system that improves accessibility of preserved linguistic data for research, education, and community usage.
[0014] These and other advantages will be apparent from the present application of the embodiments described herein.
[0015] The preceding is a simplified summary to provide an understanding of some embodiments of the present invention. This summary is neither an extensive nor exhaustive overview of the present invention and its various embodiments. The summary presents selected concepts of the embodiments of the present invention in a simplified form as an introduction to the more detailed description presented below. As will be appreciated, other embodiments of the present invention are possible utilizing, alone or in combination, one or more of the features set forth above or described in detail below.
BRIEF DESCRIPTION OF THE DRAWINGS
[0016] The above and still further features and advantages of embodiments of the present invention will become apparent upon consideration of the following detailed description of embodiments thereof, especially when taken in conjunction with the accompanying drawings, and wherein:
[0017] FIG. 1 illustrates a system for preservation of multimedia information associated with endangered languages, according to an embodiment of the present invention;
[0018] FIG. 2 illustrates a block diagram of a storage medium of the system for preservation of multimedia information associated with endangered languages, according to an embodiment of the present invention; and
[0019] FIG. 3 depicts a flowchart of a method for preservation of multimedia information associated with endangered languages, according to an embodiment of the present invention.
[0020] The headings used herein are for organizational purposes only and are not meant to be used to limit the scope of the description or the claims. As used throughout this application, the word "may" is used in a permissive sense (i.e., meaning having the potential to), rather than the mandatory sense (i.e., meaning must). Similarly, the words “include”, “including”, and “includes” mean including but not limited to. To facilitate understanding, like reference numerals have been used, where possible, to designate like elements common to the figures. Optional portions of the figures may be illustrated using dashed or dotted lines, unless the context of usage indicates otherwise.
DETAILED DESCRIPTION
[0021] The following description includes the preferred best mode of one embodiment of the present invention. It will be clear from this description of the invention that the invention is not limited to these illustrated embodiments but that the invention also includes a variety of modifications and embodiments thereto. Therefore, the present description should be seen as illustrative and not limiting. While the invention is susceptible to various modifications and alternative constructions, it should be understood, that there is no intention to limit the invention to the specific form disclosed, but, on the contrary, the invention is to cover all modifications, alternative constructions, and equivalents falling within the scope of the invention as defined in the claims.
[0022] In any embodiment described herein, the open-ended terms "comprising", "comprises”, and the like (which are synonymous with "including", "having” and "characterized by") may be replaced by the respective partially closed phrases "consisting essentially of", “consists essentially of", and the like or the respective closed phrases "consisting of", "consists of”, the like.
[0023] As used herein, the singular forms “a”, “an”, and “the” designate both the singular and the plural, unless expressly stated to designate the singular only.
[0024] FIG. 1 illustrates a system 100 for preservation of multimedia information associated with endangered languages, according to an embodiment of the present invention. In an embodiment of the present invention, the system 100 may be adapted to identify multimedia data associated with the endangered languages from heterogeneous data sources including digital platforms and community inputs. The system 100 may be configured to initiate aggregation based on language-specific attributes and contextual relevance of the multimedia data. In an embodiment of the present invention, the system 100 may be adapted to collect the multimedia data comprising audio, video, textual, and image-based content. The system 100 may be configured to organize the multimedia data into structured inputs for further processing based on the endangered languages.
[0025] In an embodiment of the present invention, the system 100 may be adapted to process the multimedia data to detect the language-specific attributes and dialect variations. The system 100 may be configured to represent linguistic characteristics and contextual associations derived from the multimedia data. In an embodiment of the present invention, the system 100 may be adapted to convert the multimedia data into structured formats through transcription and content extraction. The system 100 may be configured to generate structured representations corresponding to the multimedia data.
[0026] In an embodiment of the present invention, the system 100 may be adapted to establish relationships between processed multimedia data using contextual and semantic associations. The system 100 may be configured to align the multimedia data with cultural, geographical, and linguistic context for integrated representation. In an embodiment of the present invention, the system 100 may be adapted to store the processed multimedia data in an integrated repository and may be configured to provide access to the stored multimedia data for retrieval and utilization. The system 100 may be configured to support continuous update and expansion of the multimedia data for preservation of the endangered languages.
[0027] In an embodiment of the present invention, the system 100 may be adapted to integrate identification, collection, processing, conversion, establishment, storage, and access of the multimedia data within a unified processing pipeline. The system 100 may be configured to maintain continuity of the multimedia data flow across the processing stages aligned with the endangered languages. The system 100 may be adapted to coordinate data transformation across the processing stages based on the language-specific attributes and the contextual relevance. The system 100 may be configured to ensure consistency of the multimedia data across the unified processing pipeline.
[0028] According to the embodiments of the present invention, the system 100 may incorporate non-limiting hardware components to enhance a processing speed and an efficiency such as the system 100 may comprise a computing device 102, a computer application 104, a database 106, an application server 108, a processor 110, and a storage medium 112. In an embodiment of the present invention, the hardware components of the system 100 may be integrated with computer-executable instructions for overcoming the challenges and the limitations of the existing systems.
[0029] In an embodiment of the present invention, the computing device 102 may be adapted to facilitate identification of the multimedia data associated with the endangered languages from the heterogeneous data sources. The computing device 102 may be configured to provide the multimedia data for aggregation based on the language-specific attributes and the contextual relevance. In an embodiment of the present invention, the computing device 102 may be adapted to support collection of the multimedia data. The computing device 102 may be configured to transmit the multimedia data for processing to detect the language-specific attributes and the dialect variations.
[0030] In an embodiment of the present invention, the computing device 102 may be adapted to provide the multimedia data for conversion into the structured formats through the transcription and content extraction. The computing device 102 may be configured to facilitate establishment of the relationships between the processed multimedia data using the contextual and semantic associations. In an embodiment of the present invention, the computing device 102 may be adapted to receive the processed multimedia data from the integrated repository. The computing device 102 may be configured to provide access to the stored multimedia data for retrieval and utilization.
[0031] The computing device 102 may be, but not limited to, a personal computer, a consumer device, and alike. Embodiments of the present invention are intended to include or otherwise cover any type of the computing device 102 including known, related art, and/or later developed technologies. In an embodiment of the present invention, the personal computer may be, but not limited to, a desktop, a server, a laptop, and alike. Embodiments of the present invention are intended to include or otherwise cover any type of the personal computer including known, related art, and/or later developed technologies.
[0032] Further, in an embodiment of the present invention, the consumer device may be, but not limited to, a tablet, a mobile phone, a notebook, a netbook, a smartphone, a wearable device, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the consumer device including known, related art, and/or later developed technologies.
[0033] According to an embodiment of the present invention, the computing device 102 may comprise software applications such as, but not limited to, a dictionary application, a translation application, a transcription application, and the like. In a preferred embodiment of the present invention, the computing device 102 may comprise the computer application 104 which may be a computer-readable program installed in the computing device 102 for executing functions associated with the system 100.
[0034] In an embodiment of the present invention, the computer application 104 may be adapted to identify the multimedia data associated with the endangered languages from the heterogeneous data sources. The computer application 104 may be configured to process the multimedia data to detect the language-specific attributes and the dialect variations. In an embodiment of the present invention, the computer application 104 may be adapted to convert the multimedia data into the structured formats through the transcription and content extraction. The computer application 104 may be configured to represent structured data corresponding to the multimedia data for further integration.
[0035] In an embodiment of the present invention, the computer application 104 may be adapted to establish relationships between the processed multimedia data using the contextual and semantic associations. The computer application 104 may be configured to align the multimedia data based on the cultural, the geographical, and the linguistic context. In an embodiment of the present invention, the computer application 104 may be adapted to support updating of the integrated repository upon receipt of new multimedia data. The computer application 104 may be configured to facilitate access to the stored multimedia data for retrieval and utilization.
[0036] In an embodiment of the present invention, the database 106 may be adapted to store the multimedia data associated with the endangered languages in the integrated repository. The database 106 may be configured to maintain the multimedia data in the structured formats. In an embodiment of the present invention, the database 106 may be adapted to store the processed multimedia data derived through detection of the language-specific attributes and the dialect variations. The database 106 may be configured to maintain the structured representations generated through the transcription and content extraction.
[0037] In an embodiment of the present invention, the database 106 may be adapted to maintain relationships between the processed multimedia data using the contextual and semantic associations. The database 106 may be configured to organize the multimedia data based on the cultural, the geographical, and the linguistic context. In an embodiment of the present invention, the database 106 may be adapted to update the integrated repository upon receipt of the new multimedia data. The database 106 may be configured to provide access to the stored multimedia data for retrieval and utilization.
[0038] The database 106 may be for example, but not limited to, a distributed database, a personal database, an end-user database, a commercial database, a Structured Query Language (SQL) database, a non-SQL database, an operational database, a relational database, an object-oriented database, a graph database, a cloud server database, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the database 106 including known, related art, and/or later developed technologies.
[0039] Further, the database 106 may be a cloud server database, in an embodiment of the present invention. In an embodiment of the present invention, the cloud server may be remotely located. In an exemplary embodiment of the present invention, the cloud server may be a public cloud server. In another exemplary embodiment of the present invention, the cloud server may be a private cloud server. In yet another embodiment of the present invention, the cloud server may be a dedicated cloud server. The cloud server may be, but not limited to, a Microsoft Azure cloud server, an Amazon AWS cloud server, a Google Compute Engine (GCE) cloud server, an Amazon Elastic Compute Cloud (EC2) cloud server, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the cloud server including known, related art, and/or later developed technologies.
[0040] In an embodiment of the present invention, the application server 108 may be a hardware on which the processor 110 may be installed. The application server 108 may be, but not limited to, a motherboard, a wired board, a mainframe, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the application server 108, including known, related art, and/or later developed technologies.
[0041] In an embodiment of the present invention, the processor 110 may be located on the application server 108. The processor 110 may be configured to execute the computer-readable instructions to generate an output relating to the system 100. The processor 110 may be, but not limited to, a Programmable Logic Control (PLC) unit, a microprocessor, a development board, and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the processor 110 including known, related art, and/or later developed technologies.
[0042] In an embodiment of the present invention, the storage medium 112 may store the computer programmable instructions in form of programming modules. The storage medium 112 may be a non-transitory storage medium, in an embodiment of the present invention. The storage medium 112 may communicate with the processor 110 and execute a computer-readable set of instructions present in storage medium 112, in an embodiment of the present invention.
[0043] The storage medium 112 may be, but not limited to, a Random-Access Memory (RAM), a Static Random-access Memory (SRAM), a Dynamic Random-access Memory (DRAM), a Read Only Memory (ROM), an Erasable Programmable Read-only Memory (EPROM), an Electrically Erasable Programmable Read-only Memory (EEPROM), a NAND Flash, a Secure Digital (SD) memory, a cache memory, a Hard Disk Drive (HDD), a Solid-State Drive (SSD) and so forth. Embodiments of the present invention are intended to include or otherwise cover any type of the storage medium 112, including known, related art, and/or later developed technologies. In an embodiment of the present invention, the storage medium 112 may further be explained in conjunction with FIG. 2.
[0044] FIG. 2 illustrates a block diagram of the storage medium 112 of the system 100 for preservation of the multimedia information associated with the endangered languages, according to an embodiment of the present invention. The storage medium 112 may comprise the computer-executable instructions in form of programming modules such as a data identification module 200, a data collection module 202, a data processing module 204, a data conversion module 206, a data establishment module 208, a data storage module 210, and a data access module 212.
[0045] In an embodiment of the present invention, the data identification module 200 may be configured to identify the multimedia data associated with the endangered languages from the heterogeneous data sources. The data identification module 200 may be configured to access the heterogeneous data sources for identification of the multimedia data associated with the endangered languages. The data identification module 200 may be configured to identify keywords associated with the endangered languages for retrieval of the relevant multimedia data. The data identification module 200 may be configured to detect keywords associated with the endangered languages within the heterogeneous data sources. The data identification module 200 may be configured to correlate the multimedia data with the endangered languages based on the language-specific attributes and the contextual relevance. The data identification module 200 may be configured to filter the multimedia data using predefined identification parameters aligned with the endangered languages. The data identification module 200 may be configured to organize the identified multimedia data for subsequent collection and processing.
[0046] In an embodiment of the present invention, the data identification module 200 may be configured to perform automated retrieval of the multimedia data from the heterogeneous data sources through continuous scanning operations. The data identification module 200 may be configured to access digital platforms including online repositories, social media sources, and archival sources for identification of the multimedia data associated with the endangered languages. The data identification module 200 may be configured to perform keyword-based matching aligned with the endangered languages to retrieve the multimedia data. The data identification module 200 may be configured to update the identified multimedia data based on newly available content within the heterogeneous data sources. The data identification module 200 may be configured to relay the identified multimedia data to the data collection module 202.
[0047] In an embodiment of the present invention, the data collection module 202 may be activated upon receipt of the identified multimedia data from the data identification module 200. The data collection module 202 may be configured to collect the multimedia data comprising the audio, the video, the textual, and the image-based content. The data collection module 202 may be configured to aggregate the multimedia data from the heterogeneous data sources. The data collection module 202 may be configured to organize the multimedia data into unified data structures aligned with the endangered languages. The data collection module 202 may be configured to validate the multimedia data through the community-based inputs to ensure relevance with the endangered languages. The data collection module 202 may be configured to maintain integrity of the multimedia data during aggregation and organization.
[0048] In an embodiment of the present invention, the data collection module 202 may be configured to receive and validate the multimedia data through community-based inputs using the computing device 102. The data collection module 202 may be configured to store the multimedia data locally within the computing device 102 during absence of network connectivity. The data collection module 202 may be configured to transmit the multimedia data to the data processing module 204 upon availability of network connectivity. The data collection module 202 may be configured to synchronize the multimedia data with the integrated repository to maintain continuity of the multimedia data associated with the endangered languages. The data collection module 202 may be configured to relay the identified and validated multimedia data to the data processing module 204.
[0049] In an embodiment of the present invention, the data processing module 204 may be activated upon receipt of the identified and validated multimedia data from the data collection module 202. The data processing module 204 may be configured to process the multimedia data to detect the language-specific attributes and the dialect variations. The data processing module 204 may be configured to analyse the multimedia data for detection of the language-specific attributes and the dialect variations. The data processing module 204 may be configured to process multimedia data using language detection models trained on regional dialects. The data processing module 204 may be configured to apply the language detection models trained for identification of the endangered languages. The data processing module 204 may be configured to extract linguistic features from the multimedia data based on the language-specific attributes and the dialect variations. The data processing module 204 may be configured to classify the multimedia data in alignment with the endangered languages based on the detected language-specific attributes.
[0050] In an embodiment of the present invention, the data processing module 204 may be configured to utilize the trained language detection models aligned with the endangered languages for detection of the language-specific attributes and the dialect variations. The data processing module 204 may be configured to refine detection of the language-specific attributes based on linguistic variations present within the multimedia data. The data processing module 204 may be configured to improve classification of the multimedia data in alignment with the endangered languages based on the detected language-specific attributes. The data processing module 204 may be configured to enhance detection accuracy for low-resource dialect variations within the multimedia data. The data processing module 204 may be configured to relay the processed multimedia data to the data conversion module 206.
[0051] In an embodiment of the present invention, the data conversion module 206 may be activated upon receipt of the processed multimedia data from the data processing module 204. The data conversion module 206 may be configured to convert the multimedia data into the structured formats through the transcription and content extraction. The conversion of multimedia data includes speech-to-text transcription and optical character recognition of textual content. The data conversion module 206 may be configured to transform the multimedia data into the structured formats through the transcription and the content extraction. The data conversion module 206 may be configured to perform speech-to-text transcription for the audio content to generate textual representations aligned with the endangered languages. The data conversion module 206 may be configured to apply optical character recognition for the textual content and the image-based content to extract textual information. The data conversion module 206 may be configured to normalize the extracted content into structured representations corresponding to the multimedia data. The data conversion module 206 may be configured to relay the converted multimedia data to the data establishment module 208.
[0052] In an embodiment of the present invention, the data establishment module 208 may be activated upon receipt of the converted multimedia data from the data conversion module 206. The data establishment module 208 may be configured to establish relationships between the processed multimedia data using the contextual and semantic associations. The data establishment module 208 may be configured to establish the semantic relationships between the multimedia data based on the cultural, the geographical, and the linguistic context. The data establishment module 208 may be configured to correlate the processed multimedia data based on the cultural, the geographical, and the linguistic context associated with the endangered languages. The data establishment module 208 may be configured to map associations between the processed multimedia data to generate linked representations. The data establishment module 208 may be configured to organize the processed multimedia data into interconnected structures aligned with the contextual and semantic associations.
[0053] In an embodiment of the present invention, the data establishment module 208 may be configured to generate graph-based representations of the processed multimedia data based on the contextual and semantic associations. The data establishment module 208 may be configured to establish interconnected relationships between the processed multimedia data using the cultural, the geographical, and the linguistic context. The data establishment module 208 may be configured to maintain structured linkage between the processed multimedia data to enable integrated representation. The data establishment module 208 may be configured to organize the processed multimedia data into dynamically linked structures aligned with the contextual and semantic associations. The data establishment module 208 may be configured to relay the converted multimedia data to the data storage module 210.
[0054] In an embodiment of the present invention, the data storage module 210 may be activated upon receipt of the converted multimedia data from the data establishment module 208. The data storage module 210 may be configured to store the processed multimedia data in the integrated repository in the database 106. The data storage module 210 may be configured to organize the processed multimedia data within the integrated repository in the database 106. The data storage module 210 may be configured to index the processed multimedia data based on the contextual and semantic associations. The data storage module 210 may be configured to maintain structured records of the processed multimedia data aligned with the endangered languages. The data storage module 210 may be configured to update the integrated repository upon receipt of the new multimedia data through incremental storage operations.
[0055] The data storage module 210 may be configured to update the integrated repository upon receipt of the new multimedia data. The data storage module 210 may be configured to integrate the new multimedia data with existing processed multimedia data based on the contextual and semantic associations. The data storage module 210 may be configured to maintain continuity of relationships between the processed multimedia data during update of the integrated repository. The data storage module 210 may be configured to index the new multimedia data in alignment with the endangered languages. The data storage module 210 may be configured to preserve consistency of the integrated repository for subsequent retrieval and utilization.
[0056] In an embodiment of the present invention, the data storage module 210 may be configured to update relationships between the processed multimedia data upon receipt of the new multimedia data. The data storage module 210 may be configured to modify existing associations based on the contextual and semantic associations of the new multimedia data. The data storage module 210 may be configured to maintain updated linkage between the processed multimedia data aligned with the endangered languages. The data storage module 210 may be configured to ensure consistency of relationships within the integrated repository during update operations.
[0057] Upon storage and updating of the multimedia data in the integrated repository in the database 106, the data storage module 210 may be configured to transmit an activation signal to the data access module 212.
[0058] In an embodiment of the present invention, the data access module 212 may be activated upon receipt of the activation signal from the data storage module 210. The data access module 212 may be configured to provide access to the stored multimedia data through the computer application 104 for retrieval and utilization. The data access module 212 may be configured to interface with the computer application 104 for provision of the stored multimedia data. The data access module 212 may be configured to enable search and retrieval of the multimedia data through multilingual indexing. The data access module 212 may be configured to enable search through the multilingual indexing aligned with the endangered languages. The data access module 212 may be configured to format the stored multimedia data for presentation through the computer application 104. The data access module 212 may be configured to support retrieval and utilization of the stored multimedia data based on user interaction through the computer application 104.
[0059] In an embodiment of the present invention, the data access module 212 may be configured to generate structured representations of the stored multimedia data based on the cultural, the geographical, and the linguistic context. The data access module 212 may be configured to represent the stored multimedia data in visual formats aligned with the endangered languages. The data access module 212 may be configured to organize the stored multimedia data for interpretative presentation through the computer application 104. The data access module 212 may be configured to enable contextual understanding of the stored multimedia data through structured representation.
[0060] In an embodiment of the present invention, the data access module 212 may be configured to provide programmatic access to the stored multimedia data through defined access interfaces. The data access module 212 may be configured to enable external systems to retrieve the stored multimedia data aligned with the endangered languages. The data access module 212 may be configured to manage access requests for the stored multimedia data based on the multilingual indexing. The data access module 212 may be configured to facilitate integration of the stored multimedia data with external applications for retrieval and utilization.
[0061] The data access module 212 may be configured to provide offline access to the stored multimedia data. The data access module 212 may be configured to generate localized data packages comprising the stored multimedia data aligned with the endangered languages. The data access module 212 may be configured to store the localized data packages within the computing device 102 through the computer application 104. The data access module 212 may be configured to maintain indexing of the stored multimedia data for offline retrieval based on the multilingual indexing. The data access module 212 may be configured to enable utilization of the stored multimedia data in absence of network connectivity through the computer application 104.
[0062] FIG. 3 depicts a flowchart of a method 300 for preservation of the multimedia information associated with the endangered languages, according to an embodiment of the present invention.
[0063] At step 302, the system 100 may identify the multimedia data associated with the endangered languages from heterogeneous data sources including the digital platforms and the community inputs.
[0064] At step 304, the system 100 may collect the multimedia data comprising the audio, the video, the textual, and the image-based content.
[0065] At step 306, the system 100 may process the multimedia data to detect the language-specific attributes and the dialect variations.
[0066] At step 308, the system 100 may convert the multimedia data into the structured formats through the transcription and content extraction.
[0067] At step 310, the system 100 may establish relationships between the processed multimedia data using the contextual and semantic associations.
[0068] At step 312, the system 100 may store the processed multimedia data in the integrated repository established in the database 106.
[0069] At step 314, the system 100 may provide access to the stored multimedia data through the computer application 104 for retrieval and utilization.
[0070] While the invention has been described in connection with what is presently considered to be the most practical and various embodiments, it is to be understood that the invention is not to be limited to the disclosed embodiments, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the scope of the appended claims.
[0071] This written description uses examples to disclose the invention, including the best mode, and also to enable any person skilled in the art to practice the invention, including making and using any devices or systems and performing any incorporated methods. The patentable scope of the invention is defined in the claims, and may include other examples that occur to those skilled in the art. Such other examples are intended to be within the scope of the claims if they have structural elements that do not differ from the literal language of the claims, or if they include equivalent structural elements within substantial differences from the literal languages of the claims. , Claims:CLAIMS
I/We Claim:
1. A system (100) for preservation of multimedia information associated with endangered languages, the system (100) comprising:
a processor (110), and;
a storage medium (112) in communication with the processor (110) and storing instructions executable by the processor (110), characterized in that the processor (110) is configured to:
identify multimedia data associated with the endangered languages from heterogeneous data sources including digital platforms and community inputs;
collect the multimedia data comprising audio, video, textual, and image-based content;
process the multimedia data to detect language-specific attributes and dialect variations;
convert the multimedia data into structured formats through transcription and content extraction;
establish relationships between processed multimedia data using contextual and semantic associations;
store the processed multimedia data in an integrated repository; and
provide access to the stored multimedia data through a computer application (104) for retrieval and utilization.
2. The system (100) as claimed in claim 1, wherein the processor (110) is configured to identify keywords associated with the endangered languages for retrieval of relevant multimedia data.
3. The system (100) as claimed in claim 1, wherein the processor (110) is configured to process multimedia data using language detection models trained on regional dialects.
4. The system (100) as claimed in claim 1, wherein the conversion of multimedia data includes speech-to-text transcription and optical character recognition of textual content.
5. The system (100) as claimed in claim 1, wherein the processor (110) is configured to establish semantic relationships between multimedia data based on cultural, geographical, and linguistic context.
6. The system (100) as claimed in claim 1, wherein the processor (110) is configured to update the integrated repository upon receipt of new multimedia data.
7. The system (100) as claimed in claim 1, wherein the processor (110) is configured to enable search and retrieval of multimedia data through multilingual indexing.
8. The system (100) as claimed in claim 1, wherein the processor (110) is configured to provide offline access to the stored multimedia data.
9. The system (100) as claimed in claim 1, wherein the processor (110) is configured to validate multimedia data through community-based inputs.
10. A method (300) for preservation of multimedia information associated with endangered languages, the method (300) is characterized by steps of:
identifying multimedia data associated with the endangered languages from heterogeneous data sources including digital platforms and community inputs;
collecting the multimedia data comprising audio, video, textual, and image-based content;
processing the multimedia data to detect language-specific attributes and dialect variations;
converting the multimedia data into structured formats through transcription and content extraction;
establishing relationships between processed multimedia data using contextual and semantic associations;
storing the processed multimedia data in an integrated repository; and
providing access to the stored multimedia data through a computer application (104) for retrieval and utilization.

Date: May 14, 2026
Place: Noida

Nainsi Rastogi
Patent Agent (IN/PA-2372)
Agent for the Applicant