Real Estate Valuation & Analytics App

A full-featured Python desktop application designed to estimate property values and analyze real estate market indicators using Machine Learning (Random Forest Regressor).

Key Features:

Interactive User Interface (Tkinter GUI): Enables users to input property attributes (area, bedrooms, finishing quality, and location score) to instantly compute accurate valuation estimates.

Market Intelligence & Analytics Dashboard: Integrated data visualizations powered by Matplotlib and Seaborn, displaying feature correlation matrices and price vs. area distribution scatter plots.

Data Processing Pipeline: Automated data cleaning, feature engineering, and preprocessing pipelines tailored for machine learning models.

Tech Stack: Python, Tkinter, Pandas, Scikit-Learn, Matplotlib, Seaborn