Real estate agents were manually valuing homes using gut feeling. The client wanted a data-driven tool that could analyze market trends and predict property values instantly.
We built a Python-based scraping engine to aggregate data from 5 major property portals. We trained a Machine Learning model (Scikit-Learn) to analyze price-per-sqft trends. The frontend visualizes this data in interactive heatmaps.
