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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