Fall Detection System
CSE3002 Internet and Web Programming
J Component
Siddharth Suresh 20BPS1042
Prantik Dhara 20BPS1083
Kanishka Ghosh 20BPS1125
Listing the various key aspects implemented for the working of the fall detection system
Implemented the BackEnd API using FastAPI
Hosted in Render
Implemented the Real Time
Bi-Directional Connection
Using Web Socket Protocol
Fall Classification Using Random Forest Machine Learning Algorithm
Using scikit-learn and pandas libraries
Created This Website using Next.js and Blitz Toolkit
Hosted in
Written the Microcontroller Code using the Arduino Framework
The Tasks in ESP32 is implemented using the ESP32 SDK