SmogNet Datathon 2026 is a one-day Data Science & AI challenge organized by the Department of Computer Science, UET Mardan in collaboration with Code for Pakistan and OpenStreetMap.
The event is designed to provide students with hands-on experience in solving real-world environmental and civic-tech challenges using modern AI and data science techniques. Participants will work in teams to explore air quality monitoring, anomaly detection, predictive analytics, and smart public alert systems.
The datathon focuses on practical learning, teamwork, innovation, and collaboration while encouraging participants to build solutions with real public impact. Students from the 4th to 8th semester are especially encouraged to apply.
Event Details
- Date: 21 May 2026
- Time: 9:00 AM – 4:00 PM
- Team Size: Maximum 5 members
- Registration Deadline: 17 May 2026
- Registration Policy: Each participant must complete the registration form individually using the same team name. Registrations will be processed on a first-come, first-served basis.
What Makes SmogNet Special
- Real-world AI & Data Science challenges
- Team-based problem solving
- Hands-on technical learning
- Civic-tech and environmental impact focus
Requirements
Teams participating in SmogNet Datathon 2026 are expected to develop a working concept, prototype, analysis, or AI/Data Science solution related to air quality monitoring, anomaly detection, prediction systems, or smart public alert systems.
Each team must submit:
- Project title and team information
- Problem statement and proposed solution
- Short project description
- Source code or notebooks used in the project
- Presentation slides or demo materials
- A brief explanation of datasets, models, and methodology used
- Optional demo video or prototype showcase
Judging Critera
Projects will be evaluated based on:
- Innovation and creativity
- Technical implementation
- Practical impact and usability
- Data analysis and AI approach
- Team presentation and demonstration
Prizes
1st Prize
2nd Prize
3rd Prize
Devpost Achievements
Submitting to this hackathon could earn you:
Judges
Shahzeb Khan
Code for Pakistan
Asad Iqbal
BIRCUBE
Judging Criteria
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Projects will be judged based on
Projects will be judged on innovation, technical implementation, data analysis, practical impact, usability, presentation quality, and teamwork in solving real-world air quality and public alert challenges.
Questions? Email the hackathon manager
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