This project analyzes GitHub accessibility issues to:
- Forecast trends in accessibility fixes using Prophet time-series modeling.
- Evaluate seasonality (monthly/weekly patterns).
- It also attempts to benchmark llms on how well they can identity the categories of WCAP violations
- 📉 No significant trends found (average flat Kendall’s τ:
Ď„=0.281, p=0.068
). - đź“… No strong seasonality (random fluctuations dominate).
- 🔍 Insights: "Accessibility fixes remain ad-hoc, not systematic."