Google Mumbai Data Challenge: Air Quality Mapping & Forecasting
Google Mumbai Data Challenge: Air Quality Mapping & Forecasting supports participants developing AI solutions to map air quality and predict pollution, helping communities understand and anticipate changes.
Funder: Zindi
Due Dates: October 26, 2026 (Launch) | November 13, 2026 (Submission close, selection close, and leaderboard reveal) | November 20, 2026 (Planned finale)
Funding Amounts: $5,000 USD total prizes, with individual prizes of $500–$2,250
Summary: A Google data challenge hosted on Zindi supporting AI solutions to map Mumbai’s air quality and forecast pollution patterns.
Key Information: Top-three winners must assign worldwide copyright in their winning solution code to Zindi.
Description
The Google Mumbai Data Challenge invites participants to develop data-driven solutions that map air quality and forecast pollution patterns using the competition dataset. Hosted on Zindi, the challenge asks participants to explore data, identify meaningful patterns, and develop models or analytical approaches addressing defined prediction tasks. Google’s programme partner, Beyond, works with Zindi to coordinate and deliver the challenge.
The work focuses on air pollution as an environmental and public health challenge in Mumbai. Spatial analysis and forecasting could help communities, researchers, and decision-makers understand pollution patterns and anticipate changes. Solutions may support environmental monitoring, public awareness, and longer-term urban planning, while giving participants practical machine-learning experience with a real-world environmental problem.
