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Please use this identifier to cite or link to this item: http://repository.iiitd.edu.in/xmlui/handle/123456789/1577
Title: Maternal and child healthcare
Authors: Azam, Mohammad Sufyan
Bajpai, Ishit
Singh, Siddhant
Singh, Pushpendra (Advisor)
Keywords: Typescript
MongoDB
Web App Development
Informed Health Interventions
FastAPI
txt to json parser
machine learning
natural language processing
Issue Date: 30-Nov-2023
Publisher: IIIT-Delhi
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.
URI: http://repository.iiitd.edu.in/xmlui/handle/123456789/1577
Appears in Collections:Year-2023

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