Source: unstop Remote / Online Internship Included
Trivora
Organized by Hackhere•community•North America
DEADLINEOct 29, 20262 Days Remaining
EVENT DATESOct 29 - Nov 22Timeline window
PRIZE POOL🏆 Certificates & SwagVerified bounties
Trivora
Hiring & Career Opportunities
- Direct internship opportunities mentioned in guidelines
About the Opportunity
OverviewTRIVORA 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 DetailsDates: 5th & 6th December 2026Duration: 24 HoursTheme: Generative AI × CloudMode: OfflineRegistration Fee : Rs 1000 per teamTeam Size: 1–4 MembersRegistration: Slot-basedKey HighlightsCash prizes and exciting rewardsInternship and career opportunitiesExclusive AI and cloud creditsUnique problem statement for every teamReal-world technology challengesIndustry mentorship and networkingCertificates, recognition and partner benefitsOpportunity to build and deploy a working productHackathon Theme: Generative AI × CloudTeams 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 AllocationEvery 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 hoursSolve a unique real-world problemExplore Generative AI and cloud technologiesGain hands-on product development experienceLearn from industry mentors and professionalsAccess internship and career opportunitiesReceive exclusive technology credits and benefitsNetwork with innovators from different institutionsShowcase your skills on a national platformEligibility & Team RulesOpen to UG and PG studentsStudents from all academic disciplines may participateTeam Size: 1–4 membersInter-college teams are allowedInter-department teams are allowedMultidisciplinary teams are encouragedEach participant may be part of only one teamHackathon ProcessPhase 1 – Problem Allocation & IdeationEach 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 DevelopmentTeams 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 & EvaluationTeams 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 RequirementsTeams must submit:Working prototype or MVPPresentation deckSource-code repositorySolution descriptionTechnology stackCloud architecture or deployment detailsDemo or deployment link, wherever applicableExpected impact and scalabilityEvaluation CriteriaInnovation and originalityEffective use of Generative AICloud implementation and scalabilityTechnical qualityFunctionalityRelevance to the assigned problemPractical impact and feasibilitySecurity and responsible data useFinal presentation and demonstration
Relevant Tech & Domains
AI / Machine LearningCloud & DevOps
Score Composition (0–100)
Hiring Potential (25%)75%
Organizer Prestige (20%)85%
Accessibility & Format (15%)100%
Data Quality (10%)85%