AthleteIQ Pro

Inspiration

Athletes often struggle with improper exercise form, inadequate recovery tracking, and a lack of personalized coaching. Professional trainers and physiotherapists are not always accessible, especially for students and amateur athletes. We wanted to create an AI-powered fitness assistant that helps athletes improve performance, reduce injury risk, and make smarter training decisions using only a camera and intelligent analysis.

What It Does

AthleteIQ Pro is an AI-powered athlete performance platform that provides exercise form analysis, recovery tracking, and injury-risk awareness. Users can select exercises such as squats and push-ups, perform them in front of their camera, and receive instant feedback on their technique. The platform also tracks recovery history and visualizes performance trends to help athletes train more effectively.

How We Built It

I built AthleteIQ Pro as a web application using modern frontend technologies. The application uses computer vision and pose estimation techniques to detect body landmarks and analyze exercise movements. We integrated real-time camera access, exercise validation logic, performance scoring, and a recovery tracking dashboard. Data is stored locally in the browser, allowing users to review their previous sessions and progress over time.

Challenges We Faced

One of the biggest challenges was accurately distinguishing between similar exercises such as squats and lunges using pose data. We also faced difficulties in handling camera states, exercise switching, pose validation, and ensuring reliable feedback generation. Improving the accuracy of exercise recognition and managing edge cases required multiple iterations, testing sessions, and debugging efforts.

What We Learned

Through this project, we gained hands-on experience with computer vision, pose estimation, real-time camera processing, frontend development, user experience design, and AI-assisted software development. We also learned the importance of data validation, state management, and building systems that provide meaningful feedback to users.

Future Improvements

In the future, we plan to add more exercises, real-time rep counting, personalized training plans, cloud-based user accounts, advanced injury-risk prediction, and AI-powered coaching recommendations. We also aim to improve exercise recognition accuracy and support a wider range of athletic activities.

Impact

AthleteIQ Pro demonstrates how AI and computer vision can make fitness coaching more accessible, affordable, and personalized. Our goal is to help athletes train smarter, recover faster, and perform at their best.

Built With

• computervision
• html
• javascript
• json