Data ScienceArtificial IntelligenceWeb Development
Student only
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
26
Participants
2
Est. Projects
Welcome to Mega Agent-A-Thon — a global innovation hackathon where builders create next-generation AI Agents that solve real-world problems. Organized under the vision of Open Source Connect Global (OSCG), this hackathon is not just about coding — it’s about building intelligent systems that can think, act, and create impact at scale. 💡 Why Mega Agent-A-Thon? AI Agents are the future of automation, productivity, and decision-making. Real-world problem solving aligned with global challenges. Open innovation powered by global collaboration. Participants will design and build AI-powered agents capable of performing tasks autonomously, assisting humans, or solving domain-specific challenges. 🌐 Who Should Participate? Developers (AI/ML, Web, Backend, Full-stack), Students & Researchers, Startup builders & innovators, Designers & product thinkers. 🚀 What Makes This Special? Global participation and collaboration. Real-world use cases (not just demo projects). Opportunity to build portfolio-level impactful projects. Mentorship-driven learning environment.
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.