About the Workshop:

SYNERGY.io Club – SCET conducted its inaugural event titled MARK.1 – Train Your Own Machine, a hands-on workshop introducing students to Artificial Intelligence and Machine Learning using Google Teachable Machine. Designed for beginners, the no-code session empowered students to create functional AI models based on gesture and image inputs.

Objective

This initiative aimed to bridge the gap between core engineering disciplines and the realm of emerging technologies. By offering a simple, practical entry point into AI/ML, the workshop encouraged students to explore beyond the curriculum and gain first-hand experience in building machine learning models.

Session Highlights

• AI/ML Overview: Easy-to-understand introduction to Artificial Intelligence and Machine Learning concepts.
• Live Demonstration: Real-time training of AI models using gesture data through webcams.
• Hands-On Building: Participants built and tested their own models using Google Teachable Machine.

Event Flow

The session began with an address by Archan Sharma and Vedant Acharya, the Club Presidents of SYNERGY.io. They introduced the club’s mission, highlighted upcoming opportunities, and set the tone for a collaborative, forward-thinking learning experience.

This was followed by a guided walkthrough of AI/ML basics—carefully tailored to beginners. With clarity and precision, the session demystified how machine learning works, especially for students with no prior coding experience.

Through a live demo, participants learned how to collect gesture samples, train models, and test them using Google Teachable Machine’s intuitive web interface. The energy in the room was palpable as students began experimenting with real-time model building.

Competitive Segment

A highlight of the workshop was the real-time competitive challenge. Participants were asked to train an AI model to recognize specific gestures or images with high accuracy. This not only tested their understanding but also encouraged creativity, problem-solving, and performance under time constraints.

During the 30-minute build phase, students worked independently to refine their models, learning through trial and error and applying critical thinking. This segment brought a healthy sense of competition and excitement to the room.

Winners & Recognition

The most accurate and optimized models were rewarded. Below are the winners of the competition:

• 1st Position: Raivat Purohit, Pratham Tejani
• 2nd Position: Kanvi Ghoghari, Shreyarth Thakor, Shiv Patel, Parth Gandhi
• 3rd Position: Riddhi Totla, Jiya Jain, Felicson Savio, Krish Patel

Certificates of Achievement were awarded to all top performers, while every participant gained valuable practical exposure and recognition for their efforts.

Promotions & Engagement

The event was promoted through visually engaging posters displayed on campus notice boards, as well as active class-to-class announcements. Digital engagement was amplified via Instagram through the official SYNERGY.io handle, with countdown stories, reels, and posts building anticipation.

Feedback & Impact

Participants gave overwhelmingly positive feedback, praising the workshop’s simplicity, interactivity, and relevance. Faculty members also acknowledged the session’s effectiveness in blending modern tools with student-friendly learning methodologies.

Closing Note

SYNERGY.io extends sincere thanks to Dr. Samip Shah (Faculty Coordinator), Dr. Pankaj Gohil (Head of Department), and Dr. Hiren Patel (Principal) for their constant guidance and support in enabling this initiative.

With the success of this workshop event, SYNERGY.io Club - SCET is committed to organizing more such innovative, technically enriching events that empower students to explore, experiment, and excel in the era of intelligent systems.