RecoverX

Inspiration

RecoverX was inspired by a common challenge faced by patients recovering from orthopaedic surgeries such as ACL reconstruction and knee replacement. While physiotherapy is crucial for successful recovery, many patients perform exercises incorrectly when practicing at home. Incorrect posture, limited supervision, and delayed feedback can lead to slower recovery or even re-injury.

We wanted to create a solution that brings the expertise of a physiotherapist directly to patients, making rehabilitation more accessible, affordable, and effective. Our vision was to use AI and computer vision to provide real-time guidance so patients can confidently perform their recovery exercises from home.

What it does

RecoverX is an AI-powered remote rehabilitation monitoring platform designed for post-surgery patients. Using a laptop camera, the application observes physiotherapy exercises in real time and analyzes body movements.

The system provides instant voice feedback such as:

"Lift your leg slightly higher."
"Maintain a straight posture."
"Hold the position for 5 more seconds."

This real-time assistance helps patients perform exercises correctly and safely without requiring continuous human supervision.

How we built it

We built RecoverX as a modern web application with an intuitive and accessible user interface.

The solution combines:

Computer Vision for body posture and movement tracking.
AI-powered analysis to evaluate exercise performance.
Real-time voice feedback for patient guidance.
Responsive web technologies for cross-device accessibility.

The platform processes live camera input, analyzes exercise movements, and generates personalized recommendations to improve rehabilitation outcomes.

Challenges we ran into

One of the biggest challenges was achieving accurate movement analysis using a standard laptop camera. Human body movements vary significantly between users, making consistent posture detection difficult.

We also faced challenges in:

Providing meaningful real-time feedback with minimal latency.
Designing a user-friendly experience for elderly patients.
Ensuring smooth integration between computer vision and AI-generated guidance.
Creating a system that remains effective under different lighting and camera conditions.

Accomplishments that we're proud of

Successfully developed a working prototype capable of monitoring rehabilitation exercises.
Implemented real-time AI-assisted feedback.
Designed an intuitive user experience suitable for patients of varying technical backgrounds.
Demonstrated how AI can improve accessibility to quality rehabilitation support.

What we learned

Through this project, we gained hands-on experience in computer vision, real-time video processing, AI-assisted healthcare applications, user-centered design, and integrating multiple technologies into a unified healthcare solution.

We also learned the importance of balancing technical accuracy with usability, especially when building products intended for healthcare-related use cases.

What's next for RecoverX

Our future roadmap includes: