Code Cortex 3.0

OverviewBuild. Break. Learn. Repeat.Code Cortex 3.0 is a 30-hour AI/ML hackathon designed for students who want to turn ideas into working solutions. Whether you're an experienced ML practitioner or taking your first steps into AI, this is your chance to build something real, solve meaningful problems, and push your limits.Choose from curated tracks in Finance, Medicine, Drone Tech & Aviation, and Security, each built around real-world problem spaces and datasets. Prefer to explore your own idea? The Open Innovation track gives you the freedom to bring your own problem, dataset, and solution.Over 30 intense hours, teams will go through focused development sessions, reviews, and mentorship before presenting their final solutions to the judging panel.What to Expect30 hours of intensive hacking and developmentReal-world AI/ML problem statementsCurated tracks across multiple domainsOpen Innovation track for your own ideasStructured review rounds with feedbackFinal presentations and judgingAn opportunity to build a working AI/ML solution from scratchTracksFinance — Solve challenges involving financial data, fraud, transactions, and related problems.Medicine — Work with real-world healthcare and medical datasets to develop meaningful ML solutions.Drone Tech & Aviation — Explore AI/ML applications in flight, aviation, drones, and related domains.Security — Build intelligent solutions for cybersecurity, malware detection, and other security challenges.Open Innovation — Bring your own dataset, identify your own problem, and build your own solution.Who Can Participate?The hackathon is open to college students and freshers. Prior AI/ML experience is not mandatory — curiosity, problem-solving, and the willingness to learn are what matter.Team size: 2–4 membersSolo participation is not permittedParticipants must register their team and track at the beginning of the hackathonImportant RulesAll code must be written during the hackathon.Pre-built projects and reused past projects are not allowed.The solution must use a trained or fine-tuned ML/DL model as a core component; solutions relying only on API calls are not permitted.Open Innovation datasets must be publicly available and properly cited.Final submissions must include working code, a brief README, and a demo/presentation.Plagiarism or reuse of previous projects will lead to disqualification.All tracks will be evaluated using the same judging criteria.You can complete the payment here after registering on Unstop: gravitas.vit.ac.in/events/e646dce6-9d53-46d2-8d50-7f50dbcc065eJudging CriteriaWow Factor — Originality and innovation of the ideaBuild Quality — Engineering quality, execution, and functionalityUser Love — Usability and overall user experienceReal-World Ready — Practicality, scalability, and potential for real-world deploymentPitch Power — Clarity, storytelling, and effectiveness of the final presentationReady to Build?Bring your team, pick your track, and spend 30 hours turning an idea into something you can actually demonstrate.No prior experience required. Just curiosity, a laptop, and the drive to build.