Intelligent Real Estate Valuation and Price Prediction System

In this project, I engineered a robust Python-based automated valuation system designed to estimate residential property prices based on key structural attributes such as total square footage, bedroom count, bathroom count, and property age. The project implements optimized mathematical regression models from scratch for high performance and efficiency, providing instant and accurate market price valuations for real estate assets.