Events

Objective:

The objective of AI Day was to provide students with an engaging, hands-on platform to explore Artificial Intelligence concepts beyond the classroom. The event was designed to test three core skills — prompt engineering, AI literacy, and rapid creative ideathon — through structured games, while also giving students exposure to a live guest session by an industry expert. The event aimed to make AI accessible, exciting, and competitive for students across all branches. Alongside AI Day, a dedicated Hackathon was organized for Last Year (LY) students on 12th August 2026. The event ran from 10:30 AM to 3:00 PM and was held across two venues — the SAP Lab (Room 2101) and Room 2113. The hackathon was conducted in two rounds. In the first round, all registered teams participated and presented their solutions to a problem statement provided by the college. Based on evaluation, five teams were shortlisted for the final round. In the final round, the five teams competed head-to-head and one winning team was selected by the judges. The winning team was awarded and felicitated at the end of the event.

 Program Highlights:

Guest Session

The event began with a Guest Session from 10:30 AM to 12:30 PM. Students from Second and Third Year attended the session, which covered real-world applications of Artificial Intelligence and perspectives from industry. The session was held across classrooms 2102, 2103, 2114, and 2115 on the 1st floor of the 2nd building, and was attended by a large number of students.

AI Games Arena

Following the Guest Session, the AI Games Arena was conducted. The arena consisted of three games, each running for approximately one hour. All three games followed an elimination-based round format — participants competed in multiple rounds within the one-hour window, with a set number qualifying into each subsequent round, until a final winner was determined per game. One Overall AI Champion was announced at the end of all three games, based on cumulative performance.

Game 1 — Prompt Golf & Jailbreak Challenge

Participants were shown a target output on screen and had to craft the shortest, cleverest prompt to make an AI model produce that exact output. Each round had a fixed timer. Prompts were judged on accuracy, length, and creativity. Multiple rounds were conducted, with top performers advancing each time.

Scoring breakdown:

• Output Accuracy — 50%
• Prompt Length (shorter = better) — 30%
• Creativity / Cleverness — 20%

Game 2 — AI vs Human: Spot the Bot

A fast-paced quiz where participants were shown a series of samples — images, text passages, or code snippets — and had to identify whether the content was AI-generated or human-made. Participants voted live using a hands-up format (left hand for AI, right hand for Human). This game also included a Code Debugging Challenge segment, where buggy code was displayed on screen and participants had to identify the errors as quickly as possible. The game used a sudden-death format in the final rounds.

Game 3 — Crazy Pitch Arena

Participants were grouped into small teams on the spot, each given a card with three random constraints (such as target audience, technology type, and a limitation). Teams had 30–35 minutes to design a rough AI product concept — sketches or slides, no coding required. A gallery walk was then conducted for judge review, after which the top teams presented a two-minute live pitch on stage. Individual winners were identified based on pitching strength and idea contribution.

Scoring breakdown:

• Creativity & Originality — 35%
• Feasibility within Constraints — 25%
• Clarity & Confidence of Pitch — 25%
• Visual Concept / Prototype Quality — 15%

LY Student Hackathon

The hackathon was conducted in two rounds. In the first round, all registered teams participated and presented their solutions to a problem statement provided by the college. Based on evaluation, five teams were shortlisted for the final round. In the final round, the five teams competed head-to-head and one winning team was selected by the judges. The winning team was awarded and felicitated at the end of the event.

Hackathon at a Glance:

• Date: 12th August 2026
• Timing: 10:30 AM – 3:00 PM
• Venue: SAP Lab (Room 2101) and Room 2113
• Team Size: 4 members per team
• Problem Statement: Provided by the college
• Format: 2 rounds — preliminary round followed by a final round of 5 teams
• Winner: One winning team selected and awarded

Volunteer & Club Member Contribution

The event was made possible through the collective effort of NextGen AI Club members and volunteers. Club members were present from 8:30 AM onwards, managing classroom arrangements, participant flow, game coordination, scoring, and audience engagement across all four classrooms simultaneously. Volunteers were assigned to 3–4 classrooms with 4–5 members per classroom. Each volunteer was recognized for their contribution and will receive a participation certificate for the event.

Learnings & Impact

The event gave students a firsthand experience of how AI models respond to different kinds of prompting, exposed them to the nuances of AI-generated versus human-generated content, and challenged them to think fast and creatively under constraints. The Code Debugging segment in particular helped bridge the gap between theoretical AI awareness and practical programming skills. The Crazy Pitch Arena encouraged lateral thinking and rapid problem-solving — skills directly relevant to the AI industry.

Conclusion

AI Day was successfully conducted on 12th August 2026 and received strong participation from students across Second and Third Year. The event brought together a Guest Session and three competitive games under one roof, making it one of the larger events organized by the NextGen AI Club of Department of Artificial Intelligence of this academic year. The club looks forward to building on this experience and organizing further events that make AI education more engaging and accessible for students at Vishwakarma University.