Update README.md

README.md

@@ -252,11 +252,3 @@ The included `final_cleaned_sample.csv` is intended for inspection and API/schem
 - Some boundary cases are inherently ambiguous, especially tasks near the 3-day and 15-day thresholds.
 - The included sample CSVs are for transparency and demonstration; full training requires rebuilding or downloading the larger processed dataset.
 
-## Why This Project Matters
-
-- data cleaning and feature engineering from messy real-world issue tracking data
-- responsible simplification of a regression-like problem into useful planning categories
-- scikit-learn pipeline design with text, categorical, and numeric features
-- reproducible model artifact generation
-- quantitative evaluation with both text and image artifacts
-- deployable FastAPI inference with validation, probabilities, and basic API safeguards