AI‑Driven Short‑Term Forecasting of Ground‑Level O₃ and NO₂ for Delhi

The project will build an end‑to‑end forecasting pipeline that integrates satellite‑derived tropospheric NO₂, O₃, CO, HCHO and reanalysis meteorological fields to predict hourly surface O₃ and NO₂ concentrations up to 48 hours ahead for Delhi. It combines environmental science domain knowledge with advanced machine‑learning (deep learning) techniques, delivering a low‑cost, high‑resolution forecast service for policymakers, health agencies, and the public.

This is a Complete Project Template

Sign in to view the full implementation details, methodology, and resources.