This hackathon is designed to challenge participants on their machine learning knowledge and practical skills through two rounds - one online and one offline.
Eligibility: Open to all college students. Participants can form teams of up to 4 members. Join the Whatsapp Group for more updates & also follow us on Instagram
Online Quiz: All registered participants must attempt an online, time-bound quiz covering core machine learning concepts. The quiz must be completed in one sitting without external assistance or bots. The selected teams, based on cumulative scores, will qualify for the next round.
Offline Hackathon: Qualified teams will participate in an offline hackathon event. A common Problem statement will be shared in the presence of all teams. Teams will have a fixed duration to develop a machine learning project from scratch. All work must be completed during the hackathon period; pre-existing code is not allowed except for open-source libraries and frameworks.
Teams Must Submit: Project code (with clear documentation) Dataset(s) used Detailed project report (problem statement, solution approach, model architecture, evaluation metrics, and real-world application) Project presentation (for final evaluation)
Team Formation: Teams can have a maximum of 4 members. Teams must be finalized before the start of Round 2. Each team must designate a representative for communication with organizers.
Project Guidelines: All projects must be original and developed during the hackathon. Use of open-source libraries, frameworks, and public datasets is permitted. Clearly document any external resources or code used. Projects must adhere to ethical AI practices and responsible data usage. Any continuation of previous work must be disclosed, and only new features or improvements will be judged.
Judging Criteria: Projects will be evaluated based on the following: Technical Accuracy (50%) – Correctness and robustness of ML methods and implementation. Innovation & Creativity (20%) – Originality of the idea and solution approach. Execution & Functionality (15%) – Working prototype, code quality, and usability. Presentation & Clarity (15%) – Effectiveness of project explanation and visual aids. Judges will use a rating scale (e.g., 1–10) for each criterion to ensure fairness and consistency. In case of a tie, the team with stronger technical accuracy will be ranked higher.
Submission Requirements: Submit all code in a well-documented GitHub repository. Include a detailed report (PDF/Markdown) covering: Problem statement Dataset(s) used Model architecture Evaluation metrics Results and analysis Prepare a project presentation (slides) for the final demo session. All submissions must be completed before the announced deadline; late submissions will not be accepted.
Prohibited Activities: No use of bots, AI assistants, or external help during the quiz or hackathon. No plagiarism; all work must be original. No re-use of code written before the hackathon except for open-source libraries/frameworks. Any violation of rules, code of conduct, or unsporting behavior will result in immediate disqualification at the organizers’ discretion.
Code Of Conduct: All participants must maintain a respectful and inclusive environment. Harassment, discrimination, or inappropriate behavior will not be tolerated and may result in disqualification.
General Terms: Organizers reserve the right to modify the rules, disqualify participants, or cancel the event in case of unforeseen circumstances. All decisions by the judging panel and organizers are final and binding.
Prize: Worth 35,000(INR)