Virtual Fitness Coach

Capturing boxing caption!

In a time where virtual fitness has gained immense popularity, we realized there was a significant gap in the market for tools that offer instant, personalized feedback on one's workout techniques. The inspiration for the Virtual Fitness Coach came from our desire to bridge this gap, utilizing technology to create a virtual personal trainer that could help individuals perfect their exercises, enhance their skills, and prevent injuries from incorrect postures.

The Virtual Fitness Coach is designed to be your personal fitness ally. Users can upload a video of themselves performing various exercises, ranging from dance routines to traditional workouts. Our program then compares this to a standard video demonstrating the correct posture and techniques. Through frame-by-frame analysis, it pinpoints areas of improvement and offers suggestions to replicate the form.

To construct this innovative platform, we utilized TensorFlow alongside a movenet machine learning model specialized in movement captioning. The program analyzes each frame of the uploaded video in parallel with the reference video, identifying discrepancies and suggesting improvements in real-time.

During the development process, we encountered challenges related to ensuring the accuracy of our movement captioning model. We had to check the acurracy of the move caption's key point to get correct motions, thus, we had to add likelihood thresholds. Also, we performed the program locally, thus, the dependencies were conbolluted. Lastly, we had to be careful with the code architecture and typefiles.

We are extremely proud of developing a virtual fitness coaching tool able to pitpoint and judge correct forms. Not only facilitates better workout techniques but also has the potential to prevent injuries caused by incorrect postures. Additionally, we are proud of the seamless integration of technology and fitness that our program represents, fostering a healthier and more informed fitness community.

Throughout this journey, we acquired application experience and how to make the most of our skills to solve a real life problem. We honed our skills in utilizing TensorFlow and learned the intricacies of manipulating this kind of model. The process also fostered a deeper understanding of the fitness industry's needs and how technology can be leveraged to meet these requirements effectively.

Looking ahead, we envisage integrating a social feature and a better interface, allowing users to share their progress and compete with friends. Moreover, we aim to collaborate with fitness professionals to constantly update our reference videos, ensuring our users have access to the most up-to-date and accurate coaching available.