About alrIEEEna'26
A premier state-level Machine Learning hackathon designed to test the limits of algorithmic optimization and model accuracy among Uttarakhand's top undergraduate talent.
The Objective
Participating teams are tasked with analyzing a complex target dataset to train a robust Machine Learning model capable of highly accurate unseen predictions.
Evaluation Criteria
Models face rigorous testing against a hidden split. Rankings are strictly determined by Accuracy and F1 Scores.
Tie-Breaker: In the event of identical scores, the victor is chosen based on code optimization, architectural elegance, and overall quality.
Target Audience
Undergraduate (UG) Students enrolled in any university across Uttarakhand.
Event Timeline
Gateway Opens
Registration portal goes live. Begin forming your duos and securing your spot.
Dataset Deployed
The official training dataset becomes available for download exclusively on your dashboard.
Submission Lock
Final deadline to submit your GitHub repository link containing the trained models.
Phase 1 Evaluation
Internal online evaluation of submitted models. Qualification results published on the portal.
Final Clearance
Deadline for qualified teams to complete offline event registration and payment.
The Offline Showdown
Grand Finale held at GEHU Dehradun. Top teams battle live for the championship.
Have some doubts?
Our team is available to assist you. Reach out through any of our official channels below for rapid support and updates.