mahlatsim/vehiclepricepredictor

This is a Streamlit used-car price predictor and market-insights app. Users navigate from a landing page to either an interactive dashboard or a prediction form; prediction builds vehicle features, scales them, runs an XGBoost model, and displays an estimate with a confidence interval. The dashboard reads the car dataset and presents market, brand, and feature analyses. Prediction and dashboard excerpts show their local data and model operations; connections between pages and documented capabilities rely on the README, and unsampled implementation details are not inferred.