ML Fest 2026 is not a workshop. It is not a seminar. It is a battleground for those who claim they understand machine learning.
This is where theory gets tested under pressure and real ML skills are exposed. If you believe you understand models, metrics, pipelines, and optimization, this is where you prove it.
Stage 1: TechQ
A rapid-fire fundamentals round designed to challenge your conceptual clarity. From core algorithms to evaluation logic, only those with strong ML foundations move forward.
Stage 2: Bug Hunt
A broken machine learning pipeline stands in your way. Hidden flaws, subtle errors, misleading outputs — your task is to diagnose, debug, and optimize like a real ML engineer. This is where practical understanding separates itself from surface-level knowledge.
Stage 3: ML Capture The Flag (CTF)
The final arena. Real-world ML and data-driven challenges that demand strategy, precision, and advanced problem-solving. Every decision counts. Every improvement matters. This is where resilience and analytical depth are tested under competitive pressure.
If you train models, tune hyperparameters, argue about bias-variance, or build pipelines at 2 AM — ML Fest is built for you. Step in, compete, and let your models speak for you.
Ensure you have your personal laptop with you.
