Hack Trek: AI Automate 2026
VIT
📌 About the Event
Hack Trek presents AI Automate 2026, a high intensity innovation sprint designed to push the boundaries of intelligent systems. This isn’t just a coding marathon; it’s a challenge to build autonomous solutions that can think, learn, and act. From AI agents that streamline enterprise workflows to complex ML models solving healthcare crises, the goal is to create technology that reduces human effort and scales impact. If you have a “bold” idea that moves beyond theory into a working prototype, this is your stage.
ℹ️ Event Details
- Category: Hackathons national and international, AI and ML challenges
- Organizer: VIT (Vellore Institute of Technology) Community / Partnered Organizations
- Eligibility: Students only (Above legal age of majority)
- Open To: Global (excluding standard exceptions)
- Team Size: [Check Devpost for specific team limits]
- Effort Level: Very High (Strict 3-day deadline remaining)
- Submission Type: Working prototype, GitHub Repo, and Demo Video
📅 Important Dates
- Current Status: 3 Days remaining to deadline
- Submission Deadline: 17th April 2026 @ 4:30 AM PDT
- Mode: Online
- Platform: Devpost
🏆 Prize Details and Value
- Grand Prize: ₹10,000 in cash
- Winner Count: 1 Grand Prize Winner
- Certificates: Likely available for all valid submissions (Check full rules)
- Participants: Currently 585+ competitors
🎯 Tracks & Domains
- AI Agents: Autonomously automating complex workflows.
- Predictive ML: Models solving real-world prediction problems.
- LLM Applications: Powered assistants and cognitive tools.
- Intelligent Automation: RPA + AI integrations and Smart IoT.
- Impact Sectors: Fintech, Healthcare, Cybersecurity, or Sustainability.
📦 Submission Requirements
- Working Prototype: A deployed or functional solution (no purely theoretical ideas).
- GitHub Repository: Must be well documented and transparent.
- Demo Video: A 3 to 5 minute walkthrough of the solution.
- Architecture Diagram: A visual representation of how your AI and automation logic flows.
- Technical Explanation: Clear details on the ML models used, tech stack, and measurable real-world impact.