GreenPrint: AI‑driven carbon footprint tracker from daily descriptions
GreenPrint lets users write what they did in a day in plain language and instantly receives an estimate of the CO₂e emissions, an EcoScore and actionable reduction suggestions. It parses the text with a Gemini model (or a fallback keyword parser) and multiplies by an India‑specific emission factor registry. The service stores each entry in Firestore, generates trend charts and a what‑if simulator, and translates results into several Indian languages. It is useful for environmentally‑conscious individuals and NGOs seeking a simple, multilingual carbon‑tracking tool.
View on GitHub →yarragudisrinivasreddy/greenprint