This hackathons is only open to students. Double check the event page for more information as this may mean only those from a particular university/country are eligible.
Event Type
in person
225
Participants
20
Est. Projects
Ignisys Hackathon 2026
A 24-Hour Hackathon at IGNITIA'26
IGNISYS Hackathon 2026 is a 24-hour innovation challenge designed to bring together students, developers, designers, and innovators to build impactful solutions for real-world problems. Participants will collaborate, ideate, develop, and present their projects within the hackathon duration.
Eligibility:
Open to all Undergraduate and Postgraduate students.
Inter-college teams are allowed.
Inter-specialization teams are allowed.
Team size: 2–4 members.
Format:
Round 1: Registration & Team Confirmation
Round 2: 24-Hour Development Phase
Round 3: Final Project Presentation & Evaluation
Themes:
Artificial Intelligence & Machine Learning
Cybersecurity
Healthcare
Education
Sustainability
Open Innovation
Productivity & Automation
Judging Criteria:
Innovation & Creativity
Technical Implementation
Problem-Solving Approach
User Experience
Scalability & Impact
Presentation & Demonstration
Rules:
All projects must be developed during the hackathon.
Teams must submit an original solution.
Use of AI tools, APIs, frameworks, and open-source libraries is permitted.
Plagiarism will result in immediate disqualification.
Participants must bring their own laptops and necessary accessories.
The decision of judges will be final and binding.
Perks:
Participation Certificates
Winner & Runner-Up Recognition
Exciting Prize Pool
Mentorship & Networking Opportunities
24 Hours. Infinite Possibilities. Don't Predict the Future. Program It.
Judge Accessibility
Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10
Top signals
Organizer email available
Student-run event
Actively looking for judges
Organizers
Alex Johnson
alex@example.org
Jamie Rivera
jamie@example.org
Sam Chen
sam@example.org
Estimated Audience
Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech
Technical Focus
AI95%
Web80%
Mobile25%
Industries
Healthcare
Education
Climate
Technologies
Python
React
OpenAI
Why this estimate
• Hosted by a university
• Open to students
• MLH member event
Estimate inferred from event metadata, not actual attendee data.