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  1. Database
  2. India
  3. Trivora

Trivora

unstopHosted on Unstop

Fetched about 1 hour ago

Wednesday, September 23, 2026

to Sunday, November 22, 2026

•

2 months long

UndergraduatePostgraduateEngineering StudentsManagementArts, Commerce, Sciences & OthersLawMedical
Student only
This hackathon is only open to students. Double check the event page for more information as this may mean only those from a particular university/country are eligible.

hybrid

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About this hackathon

Overview TRIVORA 2026 is a national-level 24-hour hackathon presented by HackHere, bringing together students, developers, designers, researchers and technology innovators to build intelligent, scalable solutions using Generative AI and Cloud Computing. Event Details Dates: 5th & 6th December 2026 Duration: 24 Hours Theme: Generative AI × Cloud Mode: Offline Registration Fee : Rs 1000 per team Team Size: 1–4 Members Registration: Slot-based Key Highlights Cash prizes and exciting rewards Internship and career opportunities Exclusive AI and cloud credits Unique problem statement for every team Real-world technology challenges Industry mentorship and networking Certificates, recognition and partner benefits Opportunity to build and deploy a working product Hackathon Theme: Generative AI × Cloud Teams must develop innovative, intelligent and scalable solutions by combining the capabilities of Generative AI with modern cloud technologies. The solutions should demonstrate practical applications of AI, efficient cloud deployment, scalability, responsible data usage and measurable real-world impact. Unique Problem Statement Allocation Every participating team will receive a unique problem statement. All problem statements will follow the common theme of Generative AI × Cloud. Problem statements will be revealed at the beginning of the hackathon. Once allocated, teams cannot exchange or change their problem statement. Each team must independently design, develop and present its solution. Solutions must be developed during the official hackathon period. Why Participate? Build a working solution within 24 hours Solve a unique real-world problem Explore Generative AI and cloud technologies Gain hands-on product development experience Learn from industry mentors and professionals Access internship and career opportunities Receive exclusive technology credits and benefits Network with innovators from different institutions Showcase your skills on a national platform Eligibility & Team Rules Open to UG and PG students Students from all academic disciplines may participate Team Size: 1–4 members Inter-college teams are allowed Inter-department teams are allowed Multidisciplinary teams are encouraged Each participant may be part of only one team Hackathon Process Phase 1 – Problem Allocation & Ideation Each team will receive a unique problem statement. Teams must analyse the challenge and plan their proposed solution. Mentors may guide teams during idea validation. Teams must work only on their assigned problem statement. Phase 2 – Prototype Development Teams will develop their solution during the 24-hour hackathon. The solution should meaningfully use Generative AI and cloud technologies. Mentors and industry professionals will interact with participants. Teams may undergo progress evaluations during development. Phase 3 – Final Submission & Evaluation Teams must submit their final prototype and presentation. Shortlisted teams will demonstrate their solutions before the jury. Evaluation will focus on technical quality, innovation, scalability and practical impact. Submission Requirements Teams must submit: Working prototype or MVP Presentation deck Source-code repository Solution description Technology stack Cloud architecture or deployment details Demo or deployment link, wherever applicable Expected impact and scalability Evaluation Criteria Innovation and originality Effective use of Generative AI Cloud implementation and scalability Technical quality Functionality Relevance to the assigned problem Practical impact and feasibility Security and responsible data use Final presentation and demonstration

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23 Sep – 22 Nov · hybrid