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  1. Database
  2. Willovate Talent Hunt - AI/ML

Willovate Talent Hunt - AI/ML

unstopHosted on Unstop

Fetched about 18 hours ago

Monday, June 1, 2026

to Friday, June 5, 2026

•

4 days long

Artificial IntelligenceEdtechData Science
Student only
This hackathon 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.

online

Event Type

81

Participants

₹1,000

Prize Pool

7

Est. Projects

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Data fetched about 18 hours ago

About this hackathon

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.

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1–5 Jun · online