RehabMind-AI

Inspiration

RehabMind AI was created to make rehabilitation more personalized and easier to follow. Recovery can be difficult to track, and patients may not always know whether their progress is improving or when they need more attention.

What it does

RehabMind AI provides a recovery dashboard with recovery scores, daily status, trends, reports, and an AI Coach. It helps users understand their recovery patterns and provides supportive, personalized guidance.

How we built it

We built the application with a Python backend and a modern web frontend. The backend provides authentication, recovery scoring, health tracking, trends, reports, and AI-powered coaching through APIs. The frontend connects to these APIs to provide an interactive dashboard.

What we learned

We learned how to connect a frontend with a backend API, implement authentication, manage application data, build recovery analytics, and integrate AI-generated insights into a real application.

Challenges

One of the main challenges was connecting the different parts of the application reliably, especially authentication, API communication, recovery data, and the AI Coach. We tested the application step by step and fixed issues until the complete flow worked together.

Built With

• fastapi
• github
• javascript
• python
• react