About This Project
This application is developed as part of a research-based assignment for the course DAT255 – Software Engineering at Western Norway University of Applied Sciences (HVL).
The goal of the project is to explore how pose estimation and joint angle analysis can be applied to optimize bike fit for amateur cyclists. Users can upload a photo of themselves on their bike, and receive basic feedback based on joint angles like knee extension, hip angle, and arm reach.
This is a student project and is not a commercial product. The functionality is built for demonstration and research purposes only, and the feedback should not be considered professional bike fitting advice.
All feedback is generated automatically using a machine learning model trained on public datasets, and no personal data is stored.
More info about the project over at the GitHub repository.