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Visa Hackthon

unstopHosted on Unstop

Fetched 1 day ago

Wednesday, April 22, 2026

to Saturday, May 9, 2026

•

2 weeks long

Data ScienceEdtechHealthtech
Student only
This hackathons is only open to students. Double check the event page for more information as this may mean only those from a particular university/country are eligible.

Event Type

in person

951

Participants

85

Est. Projects

About the Opportunity: Embark on an exciting journey with the Visa hackthon, an online coding challenge hosted by the esteemed Indian Institute of Technology (IIT), Madras. This event is designed to bring together bright minds passionate about Data Analytics, Data Science, and Programming to tackle innovative challenges. As a team, participants will dive deep into the world of data and programming, showcasing problem-solving prowess and collaborative spirit. This opportunity allows participants to gain valuable experience, hone skills, and contribute to advancements in dynamic fields within an engaging online environment. Themes/Problem Statements: While exact problems will be revealed to participants, this event focuses on areas related to: Data Analytics. Data Science. Programming. Eligibility and Registration: This opportunity is open to participants engaging in Team Participation. Competition Structure: The structure for this online coding challenge is as follows: There are no specific competition structure details provided at this time. Rewards and Prizes: Rewards & prize details (as provided): There are no specific rewards or prizes detailed at this time. Closing Note: Join the Visa hackthon by IIT Madras and showcase your team's talent in this online coding challenge.

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.

Quality Score

Quality Score

72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
Operations12/15

Why this score

Strong organiser track record
Returning event
Well-sponsored

Missing data

Prize details
Code of conduct