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Event Type
online
43
Participants
3
Est. Projects
Organizers
Alex Johnson
alex@example.org
Jamie Rivera
jamie@example.org
Sam Chen
sam@example.org
Quality Score
Quality Score
72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
ML SPARK – Machine Learning Challenge Overview: ML Spark is a multi-round competition under TVASTR ’26 that evaluates participants on Machine Learning, Data Analysis, and problem-solving skills through real-world challenges. Registration Deadline: 21st April, 2026 Competition Structure: Round 1: Online Quiz 30 Questions | 15 Minutes Topic: Machine Learning Fundamentals Tests conceptual clarity and speed Round 2: ML Challenge Build a machine learning model using Python on a given case study Evaluation: Model performance, approach, and code quality Submission: Code + PPT (methodology, insights, results) Round 3: Final Presentation Present end-to-end solution and insights Evaluation: Clarity, technical depth, and presentation skills Mode: Hybrid (Online + Offline) General Guidelines: Inter-college teams allowed Original work only (no plagiarism) Judges’ decision will be final Rule violations lead to disqualification
Operations12/15
Why this score
Strong organiser track record
Returning event
Well-sponsored
Missing data
Prize details
Code of conduct
ML SPARK – Machine Learning Challenge | Hackathon Radar