PhysioVision: AI Powered Physiotherapy System

A comprehensive bilingual physiotherapy platform designed to revolutionize physiotherapy and wellness. This project combines advanced technologies to deliver dynamic exercise and nutrition recommendations through an adaptive RAG-based chatbot and real-time posture correction via computer vision.

User Interface and Working

Landing Page

LandingPage.mp4

SignUp / SignIn / Forgot Password

SignUp.SignIn.ForgotPassword.mp4

Recommendation System

Computer Vision Model

Untitled.video.-.Made.with.Clipchamp.mp4

Key Features:

Dynamic Recommendations:

Offers personalized exercise and nutrition plans using a chatbot powered by Adaptive Retrieval-Augmented Generation (RAG).

Live Posture Correction:

Utilizes Computer Vision and Deep Learning models to monitor and guide posture with audio-visual feedback.

Progress Tracking:

Tracks users' performance and progress over time for consistent improvement.

Bilingual Support:

Provides a seamless user experience in multiple languages, making physiotherapy accessible to a diverse audience.

Modern Front-End Stack:

Built with React, Vite, and Tailwind CSS for a responsive and user-friendly interface.

Tech Stack:

Frontend: React, Vite, Tailwind CSS

Backend: Adaptive RAG Chatbot for intelligent interaction

Computer Vision: Deep Learning models for posture analysis and correction

Tools: Audio-visual feedback for real-time guidance

Purpose:

This platform aims to provide effective physiotherapy solutions for users of different linguistic backgrounds, ensuring accessibility and inclusivity while leveraging cutting-edge AI and computer vision technologies.

Check out the code and details in this repository to learn more about how the system works!