IIIT-Delhi Institutional Repository

Maternal and child healthcare

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dc.contributor.author Azam, Mohammad Sufyan
dc.contributor.author Bajpai, Ishit
dc.contributor.author Singh, Siddhant
dc.contributor.author Singh, Pushpendra (Advisor)
dc.date.accessioned 2024-05-22T12:13:34Z
dc.date.available 2024-05-22T12:13:34Z
dc.date.issued 2023-11-30
dc.identifier.uri http://repository.iiitd.edu.in/xmlui/handle/123456789/1577
dc.description.abstract This 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.iso en_US en_US
dc.publisher IIIT-Delhi en_US
dc.subject Typescript en_US
dc.subject MongoDB en_US
dc.subject Web App Development en_US
dc.subject Informed Health Interventions en_US
dc.subject FastAPI en_US
dc.subject txt to json parser en_US
dc.subject machine learning en_US
dc.subject natural language processing en_US
dc.title Maternal and child healthcare en_US
dc.type Other en_US


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