Solidworks AI Hackathon

Competition Overview: Participants must build a robust machine-learning solution using a dataset involving nuts, washers, and related components. The hackathon consists of two rounds: Round 1: Kaggle ML Challenge + PPT Submission Round 2: Prototype Presentation before Judges Eligibility: Open to all students from any college/university. Participation allowed solo or in teams of up to 3 members. Round 1: Kaggle Round + PPT Submission Kaggle Round: A private Kaggle competition link will be shared after registration. Participants must build, train, and submit predictions on the test dataset. Leaderboard ranking (public LB) determines performance. External datasets or pre-trained models on similar domains are not allowed. Code must be fully original — plagiarism or code-sharing leads to disqualification. PPT Submission: Teams must submit a PPT on Unstop covering: Problem understanding Approach and model architecture Data preprocessing techniques Feature engineering (if any) Evaluation strategy Dataset insights Why the solution is scalable & reliable Note: Round 1 selection is based on both the PPT + Kaggle score. Round 2: Prototype Presentation (On-Campus) Shortlisted teams will present their prototype at IIT Madras. Teams must showcase: Working prototype or model pipeline Key insights from Round 1 Improvements made after the Kaggle round Deployment feasibility or business relevance General Rules: Register before the deadline — no late entries accepted. All decisions by the organizing committee/judges are final. Teams must strictly follow deadlines and file formats. Any unethical practice (plagiarism, model leakage, submitting others' work) leads to immediate disqualification. Use of GenAI tools for coding/explanations: allowed/not allowed (customize as needed). All communication and updates will be sent via email/Unstop dashboard.