Capital One Launchpad 2025 Hackathon

5073 Registered Allowed team size: 1 - 4
5073 Registered Allowed team size: 1 - 4

Winners are announced.

Solution Phase
Online
starts on:
Jul 30, 2025, 05:30 AM UTC (UTC)
ends on:
Aug 19, 2025, 06:35 PM UTC (UTC)

Winners

Submission Guide

Phase 1: Full Project Submission

Initial Plan submission (between August 7- August 13, 2025) Final Deadline: August 18, 2025

This is the core submission that all participating teams must complete. It will be used to evaluate and shortlist finalists for the Bangalore final presentation. The shortlist will be released only after final submission.

What You Must Submit

Initial Plan Submission (between August 7- August 13, 2025)

  1. Paper proposal (~4-6 pages), clearly define:
    1. The problem you’re solving
    2. Your idea and solution overview
    3. High-level architecture or approach
    4. High level (Technical details optional) prospective implementation plan
    5. Who are you solving for? (e.g., farmer, advisor, policymaker, vendors, financiers)

  2. Reference datasets
    1. List all public datasets used (training/tuning/reference)
    2. Provide links and documentation
    3. Brief note on how each was used
  3. Steps to submit the synopsis

    1. Click on the “Submit Project” button on the hackathon home page
    2. Click on “+ Submit new project”
    3. Enter a meaningful “Project title”
    4. Under “Select a theme” select - The Challenge: Exploring and Building Agentic AI Solutions for a High-Impact Area of Society: Agriculture
    5. Scroll down completely, fill the details for “Synopsis title”, “Synopsis description” and upload duly filled synopsis template under “Synopsis attachment upload”
    6. Accept the condition and click on “Publish submission” button to submit the synopsis

      Please note:

      • All the fields other than “Project title”, “Select a theme”, “Synopsis title”, “Synopsis description” and uploading the synopsis template are optional for synopsis submission
      • All teams need to mandatorily submit fully completed synopsis by 13th August, 11.59 PM
      • Teams can modify the synopsis as part of their final submissions due by 18th August, 11.59 PM
       

Final hackathon submission (Deadline: August 18, 2025)

  1. Longform Solution Synopsis (~6-8 pages), describe:
    1. Your proposed implementation
    2. Key design decisions and details
    3. Limitations and known issues
    4. Future work you envision
    5. The synopsis should mention in detail the novel aspects of the idea implementation, and focus on the most important aspects of the technical details.

  2. Demo Video (3–5 minutes)
    1. Walkthrough of your working prototype
    2. Show key use cases where your solution responds intelligently
    3. Simulate the real-world usage (e.g., farmer asks a question)
    4. Limitations and future work. Extra points to show failures of your solution and their fixes.

  3. Reproducible Codebase:
    1. A GitHub repo or zipped folder
    2. Clear directory structure with a README
    3. Setup/installation instructions
    4. Scripts for training, inference, and any supporting tools
    5. Optional: A hosted version of Collab Notebook demo link

  4. Access & Hosting Details
    1. If your system is hosted, provide a link and login info (if needed)
    2. Otherwise, provide reproducible local setup instructions


Phase 2: Presentation for selected Finalists in Bangalore (August 28, 2025)

The shortlisted teams will be invited to present their projects live in Bangalore.

Final Presentation Expectations

  • You will get 8 minutes to present, followed by a 7-minute Q&A.
  • Time limits will be strictly enforced to ensure fairness.
  • Your slides should cover:

Slide Content

  1. The Idea: What are you solving? Why does it matter?
  2. The Problem: Pain points in the current system for farmers or advisors.
  3. Your Solution: How your AI/agent-based system works.
  4. Data Sources: What data did you use? Any preprocessing done, challenges encountered?
  5. Technology & Architecture: Your design choices, models used, tech stack.
  6. Overcoming Challenges: Hallucinations, inconsistencies, scalability, etc.
  7. Demo Walkthrough: Highlight a few unique queries/use cases.
  8. Impact on End User: What experience does the farmer or official get?
  9. Future Scope: Where can this go? What’s next to make it production-ready?
  10. Reflections: Key learnings and insights from this Hackathon.

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