EcoPredict AI is a powerful, AI-driven solution for predicting Greenhouse Gas (GHG) emissions based on user-input industry data. Designed for environmental sustainability initiatives, EcoPredict AI utilizes machine learning models to deliver accurate carbon emission predictions and is deployed via Streamlit for real-time access.
Open-source Home Safety Score algorithm (0-100, A-F) for 41,000+ US ZIP codes. 20 data sources: EPA SDWIS/ECHO/LCR, PFAS, state MCLs, radon, FEMA flood, CDC blood lead, Census housing age. Powers zipcheckup.com
100K+ vehicle specifications database. EPA-sourced autos, 29K motorcycles. 48 structured fields, proper data types. Free samples included.
Exploratory data analysis of historical U.S. EPA automotive trends (1975–2024) examining vehicle weight, horsepower, fuel efficiency, and CO2 emissions using Python and Tableau.
CLI to check home safety scores for any US ZIP code — water quality, PFAS, lead risk, radon, flood data from 20 federal sources. Powers zipcheckup.com API.
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