HackMatch
2實體限學生機器讀取,未人工確認

Ignition Hackathon Series 2026

主辦:Concept2Action

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學生限制
限在學學生

來源標示的資格身分

大學部在學研究所在學工程科系學生管理學院學生文/商/理及其他科系法律系學生醫學系學生

關於這場比賽

About the Hackathon Welcome to Ignition Hackathon 2026 , powered by Concept2Action (C2A) based on Texas USA . Ignition is a 48-hour innovation challenge where developers, designers, AI enthusiasts, and student innovators collaborate to build impactful technology solutions. The hackathon is designed to transform ideas into working products through rapid development, mentorship, and real-world problem solving. Outstanding teams will receive an opportunity to showcase their solutions offline and be considered for incubation support through the C2A innovation ecosystem. Important Dates Event Date Registration Deadline 27 Aug 2026, 11:59 PM IST Hackathon Begins 28 Aug 2026 Hackathon Ends 29 Aug 2026, 11:59 PM IST Evaluation 30 Aug 2026 Offline Pitch (UIT Naini) 31 Aug 2026 Offline Pitch (SIET Prayagraj) 1 Sept 2026 Who Can Participate? College students Freshers Developers & programmers Designers AI/ML enthusiasts Individual participants and teams Team Size 1-4 members Participants may compete individually or form teams of up to four members. Submission Requirements Every team must submit: GitHub/GitLab repository with source code Well-documented README 2-3 minute demo video (mandatory) Live deployment link (optional but recommended) Evaluation Criteria Criteria Weightage Technical Complexity 35% Innovation & Originality 25% Functionality & Working Demo 25% UI/UX & Usability 15% Note: There is no PowerPoint presentation round . Judging is based entirely on the submitted project, code quality, documentation, and demo. Rewards & Opportunities Incubation opportunity with Concept2Action.ai Live offline showcase for shortlisted finalists Mentorship from industry experts Certificates for eligible participants Recognition across the C2A innovation network Rules Teams can have 1 to 4 members . Projects must be developed during the hackathon period. Open-source libraries and APIs are allowed with proper attribution. Plagiarism will lead to disqualification. The decision of the judging panel will be final.

主題與技術要求

指定或建議技術

Machine Learning

資料來源

這筆資料由 Unstop 抓取,最後更新於 2026年8月24日內容未經人工核對,報名前請以主辦單位公告為準。

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