Jun
2022

Wait2Fit

AI Assisted

The legacy web app was built manually; AI assisted in developing web crawlers for select gym chains.

AI Generated

The new edition was generated by AI; backend prediction models were deployed with AI assistance based on coursework research.

About Wait2Fit

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.

mermaid
flowchart LR
    A[Gym Websites]
    B["Crawler (JS)"]
    C[Sails.js Backend]
    D[Vue.js Frontend]
    E[(MongoDB)]
    A-->B
    B-->E
    C-->E
    D-->C

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 ScreenshotUI Screenshot

Try It Out!

Link (Legacy Edition)