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
online
1,045
Participants
94
Est. Projects
GitHub DevDays Hackathon – Build. Code. Innovate.
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GitHub DevDays Hackathon is an innovation-driven hackathon inspired by GitHub Copilot Dev Days, designed to empower students to build impactful real-world solutions using AI-assisted development, GitHub workflows, and open-source technologies.
The hackathon focuses on collaboration, innovation, and practical learning aligned with modern software development practices.
Eligibility:
Open to all undergraduate and postgraduate students.
Students from any branch or specialization are eligible.
Beginners as well as experienced developers can participate.
Individual and team participation allowed.
Team Guidelines:
Team Size: Minimum 1 member, Maximum 4 members.
Inter-college teams are allowed.
Inter-specialization teams are allowed.
Cross-year teams are permitted.
A participant can be part of only one team.
Hackathon Format:
Round 1: Idea Submission & Screening
Participants register through Unstop.
Teams submit their project idea or select a problem statement.
Evaluation based on innovation, feasibility, and impact.
Round 2: Development Phase
Shortlisted teams build their solution during the development period.
Teams must maintain an active GitHub repository.
Use of AI development tools and open-source technologies is encouraged.
Round 3: Final Submission & Demo
Teams submit:
GitHub Repository Link
Project Documentation
Presentation Deck
Demo Video (optional but recommended)
Final evaluation conducted by judges.
Themes / Problem Statements:
Open Innovation Model – participants can build solutions under themes such as:
AI & Machine Learning Applications
Developer Productivity Tools
Open Source Innovation
Web & Mobile Applications
Social Impact & Sustainability
Number of Problem Statements: Open-ended innovation (participants may propose their own ideas aligned with themes).
Hackathon Timeline:
Registration Phase
Registration Deadline: 25 April 2026 (11:59 PM IST)
Round 1: Idea Submission & Screening
15 April – 25 April 2026
Round 2: Development Phase
25 April – 5 May 2026
Round 3: Final Submission & Demo
5 May – 10 May 2026
Result Announcement
16 May 2026
Judging Criteria:
Innovation & Creativity
Technical Implementation
Practical Impact
UI/UX & User Experience
Effective use of GitHub & AI tools
Presentation & Demonstration
Rules & Guidelines:
Projects must be developed during the hackathon timeline.
Previously built or submitted projects are not allowed.
All submissions must include a public GitHub repository.
Plagiarism or copied solutions will lead to disqualification.
Teams must follow ethical coding practices.
Organizers reserve the right to modify rules if necessary.
Judges’ decisions will be final and binding.
Participants must maintain respectful and professional conduct.
Participant Benefits:
Participation Certificates
Winner Recognition & Prizes
Networking with developer community
Hands-on experience with AI-powered development
Exposure to GitHub-based workflows and collaboration
Build innovative solutions and showcase your skills in the GitHub DevDays Hackathon!
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.