The Challenge#
Real estate investment decisions lack data-driven insights. Investors need predictive models to assess ROI and risk before committing capital.
The Solution#
Created a platform that scrapes 90,000+ property listings and uses machine learning to predict ROI, price trends, and investment scores.
Key Achievement#
Helped identify high-value investment opportunities with 85% accuracy, combining location data, market trends, and external factors.
Technologies Used#
Python, Web Scraping (Playwright), Machine Learning, Data Analysis, FastAPI