The legacy web app was built manually; AI assisted in developing web crawlers for select gym chains.
The new edition was generated by AI; backend prediction models were deployed with AI assistance based on coursework research.

Wait2Fit visualizes foot-traffic data across fitness centers in Northern Taiwan, addressing key workout dilemmas: "When should I hit the gym?" and "Which gym is least crowded?"
Still hasn't come up with an English name yet.
In 2025, as a final capstone project for the "Data Mining" course, predictive models using XGBoost and deep learning were introduced—leveraging historical temperature, precipitation probabilities, and temporal signals to forecast gym crowds, subsequently integrated into the system via Vibe Coding.
UI Screenshot