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Real estate price prediction platform with ML anomaly detection
Overview
Real estate investment platform using XGBoost ML to identify price anomalies and undervalued properties. Scrapes listing data, runs predictions, surfaces investment opportunities.
The Problem
Real estate investors spend hours finding undervalued properties. ML could automate this analysis.
The Solution
XGBoost model trained on historical listing data wrapped in Next.js frontend. Pyppeteer handles data collection, MongoDB stores listings and model outputs.
Key Results
Metric
XGBoost price prediction
Metric
Automated data scraping
Metric
Anomaly detection
Tech Stack
Next.jsTailwindCSSPythonXGBoostMongoDBPyppeteerScikit-learn