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.
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.
Open-source Home Safety Score algorithm (0-100, A-F) used across 42,679 US ZIP records. 66 sources include EPA SDWIS/ECHO/LCR, PFAS, state MCLs, radon, FEMA flood, CDC blood lead, and Census housing age.
CLI to check home safety scores for any US ZIP code: water quality, PFAS, lead risk, radon, and flood data from 66 federal sources. Powers the zipcheckup.com API.
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