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YODHA 2.0 – Warriors of AI | National-Level 48-Hour Hackathon

hackathonThrissur, Kerala, India
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Deadline: 26/09/2026

Skills for this role

Skills we detected for this role.

  • Python
  • Machine Learning

Opportunity brief

Overview:

YODHA 2.0 – Warriors of AI is a National-Level 48-Hour AI Hackathon organized by the Department of Artificial Intelligence and Data Science, Jyothi Engineering College (Autonomous), Cheruthuruthy.

Following the successful completion of the first edition, YODHA returns with its second edition, providing a platform for students and innovators to showcase their creativity, technical skills, and problem-solving abilities.

Theme: AI for Healthcare

Participants will develop innovative and practical AI-driven solutions to address real-world healthcare challenges. During the 48-hour hackathon, teams will collaborate, build prototypes, receive mentoring, and present their solutions before an expert judging panel.

Registration & Problem Statements

Participants can register through the official YODHA website and explore the available problem statements:

https://yodha.aidajecc.in/

YODHA 2.0 is an opportunity for students to learn, collaborate, innovate, and build technology-driven solutions that can create meaningful impact in healthcare.

Event Details:

  • Event: YODHA 2.0 – Warriors of AI
  • Date: 1st–3rd October 2026
  • Duration: 48 Hours
  • Mode: Offline
  • Venue: Jyothi Engineering College (Autonomous), Cheruthuruthy
  • Theme: AI for Healthcare

Eligibility:

  • Open to college students from India.
  • Participants should register as a team.
  • Students from different engineering and technology backgrounds can participate.
  • Participants should have an interest in Artificial Intelligence, technology, innovation, and problem-solving.

Hackathon Process:

  • Phase 1: Online Registration: Teams register through the official registration platform.
  • Phase 2: Problem Statement Release & Idea Submission: Teams submit their innovative idea based on the provided problem statements.
  • Phase 3: Selection Process: Submitted ideas will be evaluated, and selected teams will be shortlisted for the hackathon.
  • Phase 4: Final Registration & Confirmation: Selected teams must pay the registration fee to confirm their participation in the 48-hour offline hackathon.
  • Phase 5: 48-Hour Offline Hackathon: Teams develop their solutions with mentoring, technical guidance, checkpoints, and review sessions.
  • Phase 6: Final Judging & Prize Distribution: Teams present their completed projects before the judging panel, followed by the announcement of winners and prize distribution.

Skills to be Assessed:

Keep your current selections and consider adding:

  • Artificial Intelligence (AI)
  • Machine Learning Concepts
  • Problem Solving
  • Critical Thinking
  • Python
  • Data Science
  • Web Development

Idea Submission PPT Structure:

Slide 1 – Title Slide:

  • Project Title
  • Team Name
  • Team Members
  • College Name

Slide 2 – Problem Statement:

  • Problem selected
  • Description of the problem
  • Why is this problem important?

Slide 3 – Proposed Solution:

  • Brief explanation of your solution
  • How does it solve the problem?
  • Key features

Slide 4 – Technology & AI Approach:

  • Technologies to be used
  • AI/ML models or tools
  • Frameworks, APIs, etc.

Slide 5 – Solution Workflow:

  • How the solution works
  • Architecture or workflow diagram

Slide 6 – Innovation & Uniqueness:

  • What makes your solution different?
  • Innovative aspects of the project

Slide 7 – Feasibility & Implementation:

  • How you plan to build the prototype
  • Resources and requirements

Slide 8 – Expected Impact:

  • Who will benefit?
  • Impact on healthcare
  • Real-world applications

Slide 9 – Future Scope:

  • Scalability
  • Future improvements
  • Potential for real-world implementation

Slide 10 – Conclusion:

- Summary of the Idea

Important Instructions:

  • Keep the presentation clear and concise.
  • Use diagrams and visuals where necessary.
  • Focus on innovation, feasibility, AI implementation, and real-world impact.
  • The submitted idea should align with the AI for Healthcare theme.

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