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  4. Year-2023
Please use this identifier to cite or link to this item: http://repository.iiitd.edu.in/xmlui/handle/123456789/1577
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dc.contributor.authorAzam, Mohammad Sufyan-
dc.contributor.authorBajpai, Ishit-
dc.contributor.authorSingh, Siddhant-
dc.contributor.authorSingh, Pushpendra (Advisor)-
dc.date.accessioned2024-05-22T12:13:34Z-
dc.date.available2024-05-22T12:13:34Z-
dc.date.issued2023-11-30-
dc.identifier.urihttp://repository.iiitd.edu.in/xmlui/handle/123456789/1577-
dc.description.abstractThis project endeavors to establish a framework for knowledge-based digital intervention targeting improved health outcomes for mothers and children. Leveraging WhatsApp chats and Zoom audio transcripts, a web app is under development utilizing Typescript, React, MongoDB, and FastAPI. The core focus lies in employing machine learning (ML) and natural language processing (NLP) techniques for comprehensive user analysis, paving the way for informed and personalized health interventions.en_US
dc.language.isoen_USen_US
dc.publisherIIIT-Delhien_US
dc.subjectTypescripten_US
dc.subjectMongoDBen_US
dc.subjectWeb App Developmenten_US
dc.subjectInformed Health Interventionsen_US
dc.subjectFastAPIen_US
dc.subjecttxt to json parseren_US
dc.subjectmachine learningen_US
dc.subjectnatural language processingen_US
dc.titleMaternal and child healthcareen_US
dc.typeOtheren_US
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