Buildathon at VIT Bhopal: AI Challenge
VIT Bhopal University
📌About the Event
BUILDATHON VIT Bhopal was a 2-day live hackathon powered by PreProd Corp, designed exclusively for VIT Bhopal students. The event challenged teams to build an AutoML user interface that could automatically train, test, validate, and deliver ready-to-use supervised AI/ML models from user-uploaded datasets. Participants worked in a live agile environment and gained practical experience in roles like frontend developer, backend developer, Python developer, data scientist, and more.
ℹ️ Event Details
- Type: AI/ML Hackathon
- Main Theme: Enabling you to build AI
- Powered By: PreProd Corp, Bangalore
- Hosted At: VIT Bhopal University
- Mode of Conduct:
- Round 1: Online registration/shortlisting round
- Round 2: Offline live hackathon for shortlisted teams at VIT Bhopal campus
- Duration: 24 hours, conducted as 12 hours per day for 2 days
- Offline Venue: Lab Complex, Gaming & Rail Lab, VIT Bhopal
- Problem Statement: Teams had to build a frontend-backend AutoML solution where users could upload CSV/Excel datasets and train supervised AI/ML models.
- Expected Output: A modern, easy-to-use app that could train AI/ML models and generate the trained model file for the user.
📅 Important Dates
- Web Launch: 24 July 2024
- Registration Deadline: 30 July 2024
- Buildathon Start Date: 1 August 2024
- Buildathon End Date: 2 August 2024
- Offline Round Timing: 8:00 AM to 8:00 PM on both days
- Industry Conclave Dates: 31 July to 3 August 2024
🎯 Eligibility & Rules
- Eligibility:
- Only current VIT Bhopal students were eligible to participate.
- All team members had to be students of VIT Bhopal.
- Team Rules:
- Each team could have a maximum of 5 members.
- VIT Bhopal’s event page also mentions teams should have not less than 3 members.
- One member per team had to complete the registration.
- Each team had to create a quirky team name.
- Shortlisted teams had to be physically present on campus for both offline hackathon days.
- Technical Rules:
- Teams had to build a frontend and backend AutoML tool.
- The tool had to accept datasets in CSV, XLSX, or XLS format.
- The dataset had to support supervised learning and be limited to 5,000 rows and 10 columns.
- The system had to train at least 5 AI/ML algorithms, such as SVM, Decision Tree, Random Forest, AdaBoost, XGBoost, Stacking, or Neural Networks.
- The app had to display performance metrics like Accuracy and RMSE.
🏆 Benefits for the Participants
- Top 3 Teams: Got a 2-month internship opportunity with PreProd Corp. The internship was without stipend.
- Special Recognition: 2 additional teams that came close to completing the challenge were offered mentorship from PreProd Corp’s technology team.
- Learning Support: All participants were invited to 4 virtual mentoring sessions to learn how to build AutoML from scratch.
- Certificates: All participants received a certificate of participation/appreciation.
- Post-event Outcome: PreProd Corp states that 34 teams and 140+ students participated, and top 6 teams / 20+ students were offered an exclusive industry internship.