← All Projects
Shipped · 2023
Investors Center
A real-estate price-prediction platform using an XGBoost model for price-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
XGBoost price prediction
Automated data scraping
Anomaly detection
Tech Stack
Next.jsTailwind CSSPythonMongoDBXGBoost
Links
More work
OpenClaw
Multi-agent orchestration platform powering Zenith — a persistent AI chief of staff coordinating a fleet of specialized agents across investment, healthcare, and content workflows
Coach Claw
Open-source coaching layer for Claude Code with local transcript analysis, ambient tips, XP, streaks, and level-ups
AI Companion
Holographic AI companion with custom Jetson camera firmware — open-sourced the IMX708 driver for JetPack 6.2