A project made for JPMC's Code for Good Hackathon '22. It is a platform created for Foundation for Mother & Child Health that helps Anganwadi Workers to counsel pregnant or newly delivered mothers in remote villages of India and eradicate malnourishment. I collaborated with one of my teammates on the backend, which included NodeJS, Express, MongoDB, and Firebase authentication.
Problem Statement:
Malnourishment remains one of India's major problems, afflicting 40% of the children born. AWW tries to assist mothers to give birth to a healthy child with a normal growth spurt. However, due to lack of support and help, AWW is unable to provide the mothers with the right counsel. They need a platform that will provide them with the information to be conveyed and for FMCH to monitor this process
Solution:
- To reach the proper counsel, we have a decision tree that will take barely 30 seconds for the AWW to fill.
- We have dashboards for FMCH workers and AWWs to track the AWWs and mothers respectively.
- We have an appointments page to help track AWWs work for the day.
- We have articles that AWWs can refer to, for providing the proper counsel additionally.
Team Members:
- Ved Patel
- Atharv Patil
- Vishal Rawat
- Arshia Puthran
- Vidhi Kansara
- Vanshika Chaurasia