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A breath of fresh air AI hackathon, June 4-5, powered by AWS

Hackathon Proposal Submission Form

Hackathon Proposal Submission Form

This form should be submitted once for each team.

Generally, what level of familiarity does your team have with working with data?
Generally, what level of experience does your team have with machine learning?
Identified Challege Track(s)

Challenge Tracks

We have identified four challenge tracks that have potential for innovative data-driven solutions. Teams can define projects in one of these tracks or at the intersection of multiple tracks.
Track 1:
Prediction Models
Develop AI models to predict air quality levels based on historical data, weather patterns, and other relevant factors. Create real-time forecasting tools to alert communities in advance of upcoming poor air quality days.
Track 2:
Mitigation Strategies
Design AI-driven solutions to reduce emissions from key sources such as transportation, industry, and residential heating. Develop applications that suggest personal actions to reduce individual carbon footprints and improve air quality.
Track 3:
Understanding and Analysis
Use AI to analyze the impact of various factors (e.g., air quality, traffic, industrial activity, weather) on air quality. Create visualizations and dashboards to help the public and policymakers understand air quality trends and associated  health impacts.
Track 4:
Air Quality Products for Health Outcomes
Use AI to integrate a range of environmental and air quality data to create a data product suitable for use in understanding health outcomes.