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HackSphere

unstopHosted on Unstop

Fetched 1 day ago

Tuesday, May 12, 2026

to Tuesday, May 26, 2026

•

2 weeks long

CybersecurityEdtechCloud
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

286

Participants

25

Est. Projects

Welcome to HackSphere — presented by Ideal Institute of Management and Technology! HackSphere is an offline hackathon where students present AI-based solutions to real-world problems. Participants will bring their self-developed AI models and showcase how their solutions work in a practical environment using programming languages such as Python, Java, and C/C++. Each team will be given 10 minutes to present their idea, demonstrate their model, and explain the problem, methodology, and impact of their solution. Teams are required to present the working code of their AI model to highlight their technical implementation and understanding. Themes / Focus Areas : Artificial Intelligence & Machine Learning , Automation ️, Smart Applications , and Open Innovation . Eligibility : Open to college students. Participation allowed in teams of 1–3 members. Basic knowledge of AI and programming is recommended. Competition Structure : AI model presentation, code demonstration, and evaluation by the judging panel ‍️. Rewards & Prizes : Certificates for all participating teams . Prizes for 1st, 2nd & 3rd winners — coming soon . Join HackSphere to showcase your AI innovation, present your technical skills, and compete in a dynamic tech-driven environment.

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