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Conquer AI Hackathon – Chapter 1

unstopHosted on Unstop

Fetched about 2 hours ago

Wednesday, July 15, 2026

to Friday, July 17, 2026

•

2 days long

UndergraduatePostgraduateEngineering StudentsManagementFresher

Event Type

online

17

Participants

1

Est. Projects

Conquer AI Hackathon – Chapter 1 is a national-level, outcome-driven hackathon organized by Conquer E-Learning, bringing together developers, innovators, startups, and problem-solvers from across India to build impactful AI-powered technology solutions. More than just a hackathon, Conquer AI Hackathon – Chapter 1 is designed as: A Hiring Platform A Startup Discovery Hub An Innovation Marketplace Selected participants will take part in an exclusive  hackathon, where they'll collaborate, innovate, and solve real-world challenges. Problem Statements Generative AI FinTech Cybersecurity Blockchain Open Innovation Startup Innovation Track What You'll Get Industry Mentorship Networking Opportunities Hiring Exposure Startup Ecosystem Access Innovation Showcase Hands-on Problem-Solving Experience Participants will build innovative solutions, pitch their ideas, and present them before industry experts, mentors, startups, sponsors, and hiring partners. Whether you're a developer, designer, founder, builder, or innovator, Conquer AI Hackathon – Chapter 1 is your opportunity to showcase your skills, solve meaningful challenges, and accelerate your career. Key Highlights National-Level Hackathon 30-Hour Innovation Challenge Real-World AI Problem Statements Startup & Hiring Opportunities Industry Mentorship Networking with Experts Innovation Showcase Hack. Build. Innovate. Conquer.

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