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01 /THE SPIRIT OF AURAGEN

Where ideas find their aura.

An elite internal hackathon organized by the Department of Artificial Intelligence and Machine Learning at Sona College of Technology, empowering students to innovate, code, and ship prototypes in a high-energy collaborative environment.

Eligibility
All-year students (1st, 2nd, 3rd & 4th year)
Team size
3–4 members per team
Participation Fee
Free
Venue
Shivva Ayyandurai Lab

Think boldly

Explore complex challenges from new perspectives and pioneer unconventional AI-driven solutions.

Build together

Collaborate with peers across batches, exchange domain knowledge, and turn ideas into tangible code.

Create impact

Develop working systems that demonstrate technical excellence, creativity, and real-world value.

PARTICIPATION & EVALUATION

Build fairly. Present clearly.

Official Guidelines · Shivva Ayyandurai Lab

Official Rules

  1. Team Size: 3 to 4 members per team. Inter-departmental and mixed-year collaborations are encouraged.
  2. Track Selection: Each team must choose either Track 1 (Basic) or Track 2 (Advanced) and submit one original project.
  3. Original Development: All core project code must be developed during the hackathon hours. Pre-existing starter templates, libraries, or datasets must be clearly declared.
  4. AI Tool Attribution: AI tools, LLMs, and prompt-assisted coding are permitted; teams must transparently document key prompts and AI tool usage.
  5. Free Participation: Registration is completely free (₹0 fees). No entry or participation charges.
  6. Hardware & Setup: Participants must bring their own laptops, chargers, adapters, and necessary software tools.
  7. Ethics & Data Privacy: Use authorized data and public APIs only. Storing private credentials, personal data, or API keys in public repositories is strictly prohibited.
  8. Fair Play: Plagiarism or submitting work that is not the team's own will result in immediate disqualification.
  9. Deadlines: Submissions must be delivered before the 3:30 PM cutoff. Late submissions cannot be judged.

Submission Requirements

  1. GitHub Repository Link: Public repo containing clean source code, setup instructions, README, and list of team members.
  2. Live Demo / Runnable URL: Working deployed website or clear instructions to run locally for live evaluation.
  3. Track 1 Deliverable: Prompt engineering log showing prompt iterations, model feedback, and creative design process.
  4. Track 2 Deliverable: Architecture diagram, model/agent descriptions, dataset details, and API integrations.
  5. Project Presentation: 3-minute pitch followed by 2 minutes of Q&A with the judges covering problem, solution, implementation, and future scope.

Track 1: Prompt engineering logs, responsive UI, usability, and live demo. Track 2: Advanced machine learning, generative models, autonomous agent orchestration, and architecture documentation.

Judging Criteria · 100 Points

Working implementation & technical execution
30 points
Problem relevance & real-world impact
25 points
Creativity & originality
20 points
Track-specific execution & best practices
15 points
UI/UX design, documentation & presentation
10 points