A machine learning hackathon where students design algorithms from scratch, build their own models independently on given datasets to solve real-world challenges.
25-02-2026 09:30AM
Official Poster
Open the dedicated poster page for a visual overview and key highlights of MODEL FORGE 2026.
25 FEBRUARY 2026
JBIET Main Block
3-4 MEMBERS
Per Team
₹100/- per head
Exciting Prizes
Choose your domain and forge the future
Build models that understand, interpret, and generate human language. From sentiment analysis to chatbots.
Predict future trends using historical data. Stock prices, weather forecasting, and demand prediction.
Enable machines to see and understand visual information. Image classification, object detection, and more.
Create new content with AI. GANs, VAEs, and diffusion models for generating images, text, and music.
Follow the key milestones of MODEL FORGE 2026 from registration to prize distribution.
Phase 01
Teams start forming and submitting entries.
Early February 2026
Registration link goes live and teams can officially enroll for the hackathon.
Mid February 2026
Last date to register teams and confirm participation.
Phase 02
Final team list is frozen and logistics are prepared.
Phase 03
Full-day ML building sprint at JBIET Main Block.
25 February 2026 · 9:30 AM
Teams work on the given datasets, build models from scratch, and prepare their final submissions.
Same Day – Afternoon
Shortlisting, evaluation, and presentations in front of the judging panel.
Phase 04
Teams defend their approach, models, and results.
Phase 05
Winners and runners-up are announced and felicitated.
End of Event
Certificates and goodies are distributed to winners and all eligible participants.
Organized By
Cash Prize + Certificate + Goodies
Certificate + Goodies
Team Members
EduVision 2026 is an AI-powered classroom analytics system that automates real-time student detection and attendance tracking using YOLOv8-based computer vision.
Team Members
4Visionaries developed an AI-powered Image Super-Resolution system that enhances low-quality images using a Deep Residual CNN (EDSR-style) architecture.
Affan
Student Coordinator
John Dinakar
Student Coordinator
Akshit
Student Coordinator
Dig Vijay
Student Coordinator
Mohammed Umairuddin
Student Coordinator
Ms. Maria Divya Teja
Faculty Coordinator, Assistant Professor
Mr. Purushotham M.
Faculty Coordinator, Assistant Professor
Ms. Sangeetha B.
Faculty Coordinator, Assistant Professor
Organized by
Department of AIML & CSE (AI&ML)
Dr. Gurrampally Kumar
Convener and HOD (AIML)
Mr. S. Sathish Kumar
Co-convener, Assistant Professor