AI Sansad | Technical MUN on AI & Innovation is a two-day flagship technical competition organised by the Department of Artificial Intelligence & Machine Learning at Bharati Vidyapeeth's College of Engineering, Delhi. The event uniquely fuses hands-on Artificial Intelligence and Machine Learning innovation with structured parliamentary debate, technical argumentation, and real-time decision-making.
What It Is
Where algorithms become arguments and code builds consensus. Unlike a conventional hackathon, AI Sansad challenges teams not only to build an AI/ML solution but also to justify their technical decisions, critically evaluate competing ideas, and negotiate toward collective consensus. Participants work in teams of 3–4, developing AI/ML-based solutions, demonstrating their technical capabilities, and defending their approaches through structured discussion, questioning, rebuttals, and negotiation.
Format & Rounds
The competition runs across three rounds, beginning with an online qualification stage followed by two offline stages.
- Round 1 — Online Abstract & Solution Submission: Registered teams are randomly assigned an AI/ML problem statement drawn from a unified framework of 1 Super Domain, 10 Sub-Domains, 4 Problem Statements per Sub-Domain, and 40 Problem Statements in total. Each team submits a hackathon-style presentation covering the problem statement, abstract and proposed solution, technical approach, expected implementation, and impact and feasibility. 40 teams are shortlisted for the offline stage, one per problem statement.
- Round 2 — AI/ML Model Challenge (3 November 2026, 9:00 AM – 5:00 PM IST, Offline): The 40 shortlisted teams take part in a hands-on model development challenge using the same dataset and comparable problem context within their sub-domains. The round includes an opening ceremony, model development, live model demonstration, technical presentation, Q&A, and jury evaluation. Scoring: Model Accuracy & Efficiency 50%, Technical Knowledge 25%, Presentation & Communication 25%. A panel of four judges evaluates participants. 10 teams advance, one finalist per sub-domain.
- Round 3 — AI संसद Parliamentary Debate (4 November 2026, 9:00 AM – 5:00 PM IST, Offline): The top 10 teams defend their Day 1 solutions through logical argumentation, technical questioning, rebuttals, and real-time negotiation. No country or stakeholder roles are assigned — teams engage directly in technical discussion and work toward a joint resolution. Skills evaluated include critical thinking, technical reasoning, logical argumentation, communication, adaptability, negotiation, real-time decision-making, and consensus-building.
Who It's For
Engineering and technology students and early-career builders with an interest in AI/ML, applied machine learning, and technical debate. Teams of 3–4 members. Participants must demonstrate technical understanding and be prepared to defend their proposed solutions.
Awards & Recognition
- Best Model — Top-performing AI/ML solution from Day 1 (2–3 awardees, subject to approved budget)
- Best Delegate / Team — Outstanding technical reasoning, debate performance, persuasion, and consensus-building
- High Commendation — Exceptional argumentation, adaptability, and engagement
Why Participate
Apply AI/ML knowledge to practical technical challenges, build and demonstrate innovative machine learning models, sharpen communication and presentation skills, gain experience in technical argumentation and structured debate, and strengthen teamwork, leadership, negotiation, and critical thinking. Build the model. Defend the logic. Shape the consensus.
Participation Guidelines
Teams must register through Unstop within the registration window and complete the online abstract and solution submission to be considered for shortlisting. Shortlisted teams must attend the offline model challenge on 3 November 2026; only the top team from each sub-domain advances to the debate on 4 November 2026. Delegates must follow the structured speaking and deliberation procedures communicated by the organising committee and maintain professionalism throughout. Plagiarism, misrepresentation, or unfair practices may lead to disqualification; judges' and organisers' decisions are final.
Event Details
- Dates: 3–4 November 2026
- Venue: Bharati Vidyapeeth's College of Engineering, Delhi
- Mode: Hybrid (Online Preliminary Round + Offline Competition)
- Team Size: 3–4 participants
- Offline Timings: 9:00 AM – 5:00 PM IST
- Registration Deadline: 27 October 2026
- Entry: Free
