CO2ntrol is a web application that automatically tracks and visualizes your personal carbon footprint by parsing utility bills and logging trip mileage. It combines OCR (Google Document AI) with the Google Maps API to eliminate manual data entry, and presents an interactive Chart.js dashboard so you can monitor—and reduce—your CO₂ emissions month by month.
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Bill Upload
Drag‑and‑drop any utility bill (PDF or image). Uses Google Document AI to extract usage data (kWh, therms, etc.). -
Footprint Score
Combines energy and travel into a single CO₂ total. Applies industry‑standard emission factors. -
Dashboard
Interactive line and pie charts built with Chart.js. Filter by category (energy vs. travel) and by date.
- Node.js ≥ 14
- Python 3.10+
- Supabase CLI
- A Google Cloud service account with Document AI enabled
- Firebase project for Authentication
bash git clone git@github.com:CS222-UIUC/team-22-project.git cd frontend npm install npm start
cd ../backend npm install node server.js
Manavi Chaudhry: Firebase Authentication, receipt classification, overall architecture
Isabel Chen: Frontend design, user input handling, chart visualization
Maya Ajit: Node.js backend, Supabase setup, Google Takeout mileage extraction
Advita Gelli: Google Document AI integration, file storage, CSS design, Carbon footprint calculation logic