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
81
Participants
₹1,000
Prize Pool
7
Est. Projects
Tired of sending resumes into a black hole? Skip the tedious HR rounds and prove your engineering merit directly on production-level AI architecture. Willovate Lab presents a high-octane 48-hour challenge designed exclusively for elite AI/ML Engineers.
The 48-Hour Sprint Timeline
Registration Closes: Friday, June 5, 2026 | 11:59 PM IST
Challenge Drop: Saturday, June 6, 2026 | 10:00 AM IST
Submission Deadline: Sunday, June 7, 2026 | 09:00 PM IST
Results Announcement: Wednesday, June 10, 2026 | 4:00 PM IST
The Challenge: Intelligent Operational Systems
On Saturday morning, you will unlock a production-grade problem statement. You will have exactly 48 hours to build, train, and deploy an AI/ML functional module from scratch.
Model Engineering: Efficient data preprocessing, model selection, and optimization for real-time inference.
Backend Integration: Seamless deployment of ML models within scalable API architectures (e.g., FastAPI/Flask with Docker).
Edge Cases: Handling data drift, latency optimization, and robust error management for production pipelines.
Rewards & Perks:
Prize Pool: ₹1,000 cash for top leaderboard performers.
Direct Internship: Exceptional engineers bypass standard screening and move straight to final internship interviews.
Portfolio Asset: Build a concrete, production-ready AI/ML project on your public GitHub to showcase your technical depth.
Submission Rules:
Participation: Individual (Solo) only.
Hosting: All source code and model artifacts must be hosted in a public GitHub repository.
Proof of Work: Your repository must include a README.md with a 1-minute video link demonstrating your model’s performance and live inference capabilities.
Entry & Contact:
Dev Support: +91 9420020895
The Rule: No Resumes. No Interviews. Just Merged PRs.
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.