IGNISIA '26
24-Hour National-Level AI Hackathon
Think. Build. Evolve.
IGNISIA โ26 is a national-level AI hackathon hosted by Dr. Vishwanath Karad MIT World Peace University (MIT-WPU), Pune. The hackathon brings together talented students from across India to design and build innovative solutions using Artificial Intelligence and emerging technologies.
Participants will compete in a high-intensity innovation challenge where ideas are transformed into working prototypes within 24 hours. IGNISIA aims to encourage practical problem-solving, technical creativity, and real-world impact.
Why Participate?
- Compete for a Rs. 1,00,000 prize pool
- Build impactful AI solutions
- Network with industry experts and mentors
- Gain national-level recognition
- Experience an intense 24-hour innovation sprint
Venue
Dr. Vishwanath Karad MIT World Peace University
Vyas Building
Kothrud, Pune, Maharashtra
Registration Fee: Rs 399 per team.
Requirements
Hackathon Structure
Qualifier Round: Online PPT Screening
Teams must submit a PowerPoint presentation (in the given format) on your own idea. Problem statement must be aligned with the six domains of the hackathon. This round is to assess the creativity of students and shortlist the best teams.
Grand Finale: 24-Hour Hackathon
The top 30 teams will compete in an on-campus 24-hour hackathon at MIT-WPU. New problem statements will be released shortly before the hackathon.
Themes/Domains:
- Healthcare & Accessibility
- Education & Skills
- Sustainability & Environment
- Smart Cities
- FinTech
- Tools for Small and Medium Enterprises (SMEs)
Technologies Allowed:
- Computer Vision
- Predictive Analytics
- Generative AI
- Agentic AI
- Full-Stack Development
Prizes
Winner
Trophy, Merit Certificates and Goodies
Runner Up
Trophy, Merit Certificates and Goodies
Second Runner Up
Trophy, Merit Certificates and Goodies
Devpost Achievements
Submitting to this hackathon could earn you:
Judges
Experienced Industry Experts
From AI Companies
Judging Criteria
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Problem Understanding
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Innovation & Originality
-
Technical Feasibility
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Code Quality & Implementation
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Functionality & Usability
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Scalability & Real-World Impact
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Presentation & Communication
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