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
9
Participants
0
Est. Projects
Forge 2 Edition 2 is an AI-agent-driven hackathon by NMG Labs, open to final-year students and recent graduates (2026–2027 batches). Participants will build using AI coding agents and orchestration tools, working solo on a free-tier tech stack to create and deploy a working application.
Clear the online qualifier round to secure a guaranteed seat at the in-person final at NMG Gurugram, where finalists get access to premium AI models and provided credits to build even bigger.
This is the last free edition of Forge — future editions will be paid, so this is your chance to be part of it at no cost.
Who Can Participate:
Final-year students and recent graduates (2026–2027 batches)
Format:
Round 1 (Online Qualifier): Build a small Kanban-style app using AI coding agents, wired through Slack, on a 100% free-tier stack (Ollama/Groq/Gemini). Push to a public GitHub repo with a live deployed URL.
Round 2 (In-Person Final): Held at NMG Gurugram, 9:00 AM to 7:30 PM IST. Finalists build on premium AI models with credits provided on-site.
Perks:
Guaranteed seat at the in-person final upon clearing the qualifier
Access to premium AI models and credits at the final
Exciting prizes for top performers
Certificate of participation
Networking with the NMG Labs community
Key Links:
Qualifier Handbook: https://nmglabs.in/forge2-ed2-starter-fe09be95f5.html
Submission Link: https://nmglabs.in/forge2-ed2-starter-submit-daf4b5387c.html
Discord: discord.gg/JbxUybByQ3
WhatsApp Community: chat.whatsapp.com/GYWXzsW2U9G1eleUvn9CW6
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.