The problem Child Nutrition Tracking App(CNTA) solves

Child Malnutrition is the single biggest contributor to under-five mortality due to greater susceptibility to infections and slow recovery from illness. To tackle the same, Government of India has established Nutritional Rehabilitation Centre(NRCs). But the biggest challenge to reach the deceased still remains. To help solve this problem CNTA is targeted towards Parents and Anganwadi Workers who can add child details such as BMI, Mid-Upper Arm Circumference, Chest Circumference and more, and leverage the Machine Learning model's prediction. If the child is predicited to have Malnutrition then the child is reported to NRC where the child receives necessary attention.

Challenges we ran into

The biggest challenge undeniably, was to train the machine learning model. Because health care data comes with privacy concerns access to the same is not easy. So we had to simulate the data on our own, so that the model can be demonstrated as a proof of concept.

Some of the other issues we faces:

• Setting up SSL on the backend servers, since it's a necessity when deploying a PWA
• Configuring the cloud VMs