Datasphere ' 2026 - "Where Data Transforms Into Decisions"
Datasphere 2026 – Rules & Guidelines:
Please read the following instructions carefully before registering.
General Rules:
Each team must consist of 2–3 members from the same institution.
Registration is confirmed only after successful payment of the registration fee.
No changes in team members will be permitted after the registration deadline.
Each team can participate in only one track.
Teams must select their preferred track during registration. Track selection cannot be changed later.
Problem statements for each track will be released 3 days before the Datathon. Teams must choose one problem statement from their selected track before the event.
The official dataset will be released only on the day of the Datathon. Only the datasets provided by the organizers should be used.
All data analysis, preprocessing, model development, visualization, and report preparation must be completed during the 24-hour competition.
Plagiarism, copied solutions, pre-built projects, or submission of previously developed work will result in immediate disqualification.
Participants must bring their own laptops, chargers, and other necessary accessories.
Each team must submit the complete source code, trained model (if applicable), documentation, presentation, and any other required deliverables before the submission deadline.
All team members must be present during the final evaluation and presentation.
Projects will be evaluated based on:
Problem Understanding
Data Preprocessing
Model Performance
Innovation
Business/Social Impact
Visualization
Presentation & Q&A
Participants must maintain professional conduct and follow the instructions of the organizing committee throughout the event.
The decision of the judges and organizing committee shall be final and binding.
Judge Accessibility
Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10
Top signals
Organizer email available
Student-run event
Actively looking for judges
Organizers
Alex Johnson
alex@example.org
Jamie Rivera
jamie@example.org
Sam Chen
sam@example.org
Estimated Audience
Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech
Technical Focus
AI95%
Web80%
Mobile25%
Industries
Healthcare
Education
Climate
Technologies
Python
React
OpenAI
Why this estimate
• Hosted by a university
• Open to students
• MLH member event
Estimate inferred from event metadata, not actual attendee data.