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
online
26
Participants
2
Est. Projects
SuRaksha, an initiative by Canara Bank, is a campus-focused hackathon designed to reshape the future of digital security in fintech platforms. In an era of rapid banking digitization, traditional password-based logins are proving insufficient.
This hackathon calls upon innovative minds to develop behavior-based user authentication systems that enable real-time fraud and anomaly detection, support password-less login mechanisms, and ensure a seamless user experience all while upholding the principles of privacy and convenience.
In addition to rethinking authentication, the hackathon addresses one of the most pressing challenges in modern financial services: data privacy. With fintech platforms relying heavily on sensitive customer data to deliver tailored services, safeguarding this data across increasingly interconnected ecosystems is now a critical imperative.
Participants are encouraged to propose solutions that not only fortify data security but also promote transparency, ethical handling, and user trust in data-sharing practices.
Timelines
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.