Data Science Hackathon

This hackathon evaluates participants’ data science and machine learning skills through a single, fully offline 24-hour hackathon. Eligibility: Open to all college students Individual or team participation (up to 4 members) Conducted entirely offline Hackathon Format: Single-round, 24-hour offline hackathon Common problem statement announced at the venue Solutions must be developed from scratch during the hackathon All work and submissions must be completed within campus premises Teams may submit early and leave; no changes allowed after submission and exit Pre-existing code is not allowed except: Open-source libraries Frameworks Public datasets Submission: Upload final work to a well-documented GitHub repository before the deadline Must include: Complete source code Dataset(s) used Project report (PDF/Markdown): problem statement, model, metrics, results No presentation or demo round; evaluation is based only on the GitHub submission Team Guidelines: Maximum 4 members per team Teams must be finalized before the hackathon One representative for official communication Project Guidelines: Projects must be original and developed during the hackathon External tools/resources must be disclosed Ethical AI practices and responsible data usage are mandatory Only new work will be evaluated if prior work is extended Judging Criteria: Technical Accuracy – 50% Innovation & Creativity – 20% Execution & Functionality – 15% Clarity & Documentation – 15% Tie-breaker: Higher Technical Accuracy Prizes: Single-round evaluation Total Prize Pool: ₹20,000 Distribution announced during the event Rules & Conduct: No bots, AI assistants, or external help No plagiarism or code reuse (except permitted tools) Maintain respectful and inclusive conduct Violations may lead to immediate disqualification General Terms: Physical presence is mandatory Organizers’ and judges’ decisions are final and binding Venue: UHL, IIT Bhubaneswar Point of Contact: Rohith Marpina 9848482121 ️ events.pravaah@iitbbs.ac.in