Sohan Miryalkar

Diabetes Predictor

This project involved building a web application that utilizes machine learning to predict the risk of gestational diabetes in women during childbirth. Here's the gist:

• Machine Learning Model: You likely trained a machine learning model using historical data on factors influencing childbirth diabetes. The model might consider factors like age, weight, family history, and previous health conditions.
• Web Application Development: You created a user-friendly web interface using frameworks like Flask or Django. This interface allows users to input their health data.
• Risk Prediction: Once the user enters their data, the web app utilizes the trained model to predict the likelihood of developing childbirth diabetes.
• Critical Health Insights: Beyond diabetes risk, the app might provide additional insights or resources related to potential health complications during childbirth based on the user's input.