HACK CORE 2026
ANNAM.AI, IIT Ropar
📌About the Event
HACK CORE 2026 is a national AI hackathon launched by ANNAM.AI, IIT Ropar, in collaboration with Syngenta and Google. The hackathon invites innovators to build AI-powered solutions for Indian agriculture, focusing on crop health, pest management, soil intelligence, climate-resilient farming, and the adoption of biological products. It is designed to turn ideas into practical, field-ready solutions that can help farmers and the agri ecosystem across India.
ℹ️ Event Details
- Theme: AI-driven innovation for agriculture and sustainable farming
- Organised by: ANNAM.AI, IIT Ropar
- In collaboration with: Syngenta and Google
- Mode of conduct: Hybrid-style format
- Registration/application: Online through ANNAM.AI’s official website
- Final/build phase: 36-hour Build Sprint at IIT Ropar for shortlisted teams
- Focus areas:
- Crop health
- Pest management
- Soil intelligence
- Climate-resilient farming
- Biological products in agriculture
- Main objective: Build scalable AI solutions that can create real on-ground impact for farmers.
📅 Important Dates
- Launch announcement: June 29, 2026
- Applications open: Currently open
- Last date to apply: July 21, 2026
- Build Sprint: 36-hour sprint at IIT Ropar for shortlisted teams
🎯 Eligibility & Rules
- Eligibility:
- Students
- Researchers
- Developers
- Startups
- Innovators
- Early-career technologists
- Eligible region: Open to participants from across India
- Relevant backgrounds:
- Artificial Intelligence
- Data science
- Agriculture
- Sustainable innovation
- Agri-tech
- Participation requirement: Applicants need to submit their application through the official HACK CORE page on ANNAM.AI.
- Challenge expectation: Participants should propose or build AI-enabled solutions for real agricultural problems.
- Shortlisting process: Shortlisted teams will move to the 36-hour Build Sprint at IIT Ropar.
- Build Sprint format: Teams will work with researchers, industry experts, educators, and agronomy specialists to convert ideas into working prototypes.
- Evaluation focus:
- Practical use of AI in agriculture
- Scalability of the solution
- Field-level implementation potential
- Farmer impact
- Relevance to sustainable and climate-resilient farming
- Usefulness for the agri ecosystem in India
🏆 Benefits for the Participants
- Top team reward: Visit to Syngenta’s Research Centre in Atessa, Italy.
- Google Cloud credits: Winning teams will receive Google Cloud credits to access cloud infrastructure, data tools, AI resources, and software support.
- Mentorship: Participants will get expert mentorship from ANNAM.AI and Syngenta experts.
- Research exposure: Participants may get hands-on ground-level agricultural research opportunities.
- Knowledge exchange: Participants will interact with agronomy experts, researchers, and industry leaders.