About the challenge
Develop an AI-driven solutions that integrate air quality, traffic, and health datasets to support better decision-making for healthier cities.
Subtopic
1. Air Quality & Health Risks
Use AI to map pollution levels with health risks, helping cities identify danger zones.
2. Trafic & Public Health
Analyse traffic congestion data to understand its effect on urban stress and accidents.
3. Smart Healthcare Access
Develop AI tools that identify underserved urban areas with poor access to clinics or hospitals.
Requirements
1. Canva link (Slides with full explanation of your project)
- Project Objectives
- Scope Statement
- Approach/Methodology
- Deliverables Status
- Challenges & Next Steps
- Feasibility and Market Value
→ File Name: TeamCode_TeamName_PPT
2. Video link submission for demo (less than 3 minutes)
→ Video Title: TeamCode_TeamName_DemoVid
3. Video link submission for presentation (less than 6 - 10 minutes)
→ Video Title: TeamCode_TeamName_PresentationVid
4. GitHub (Source code)
→ Repository Title: TeamCode_TeamName_SourceCode
Prizes
1st
2nd
3rd
Devpost Achievements
Submitting to this hackathon could earn you:
Judges
Mr Kelwin Tan Seen Tiong
UTAR
Zach Azizul Othman
CY Tan
Judging Criteria
-
-
Questions? Email the hackathon manager
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