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Dev Clash

unstopHosted on Unstop

Fetched 2 days ago

Friday, July 10, 2026

to Friday, July 10, 2026

Data ScienceWeb Development
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

20

Participants

1

Est. Projects

About the Event: Dev Clash is a 12-hour offline hackathon where participants develop innovative technological solutions focused on real-world challenges in Sustainable Urban Living. Teams of up to three members will collaborate to build a working prototype that addresses problems in areas such as environment, energy, transportation, or resource management. The event emphasizes innovation, technical depth, and real-world impact, encouraging participants to transform ideas into functional MVPs within a limited timeframe. Challenge Objective: Participants must build a working prototype of an AI-powered learning companion system designed to support students preparing for competitive exams. The system should go beyond simple content delivery and focus on features such as learning retention, personalized study planning, adaptive practice generation, and intelligent assistance. Teams are encouraged to design solutions that demonstrate strong technical implementation and practical usefulness. Deliverables: Each team must submit the following as part of their final submission: A working prototype or demo application demonstrating the core functionality of the solution. A GitHub repository containing the complete source code along with setup instructions. A technical report explaining the system architecture, AI/ML models used, and implementation details. A presentation deck outlining the problem, solution approach, and technical design. Supporting outputs or test results demonstrating that the application functions as intended. Rules: All development and coding must be completed during the hackathon duration. Use of pre-built or previously developed projects is not permitted. Teams may use AI/ML tools, open-source libraries, and publicly available resources, but the final solution must be original. Plagiarism or unfair practices will result in immediate disqualification. Teams must be able to explain their implementation and demonstrate the functionality of their prototype during evaluation.

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