E-Wellness-A Health Tracking System✨ Developed an android application to track real-time health parameters, which are fetched from smart watches using Google Fitness API. Used Tensorflow-lite to train Diabetes and Coronary Heart Disease (CHD) model. Achieved accuracy of 81.25% to predict diabetes using pima-diabetes dataset. Used Firebase to store and retrieve the data. Tech Stack 💻 E-Wellness Android Application Android Java Google Fitness API Firebase - Cloud Firestore E-Wellness Web Application Python Flask HTML CSS Javascript Firebase - Cloud Firestore Mobile App Screenshots 📸 Website Screenshots 📸 🤩 Don't forget to give ⭐ to this repository