Limited Seat Mega Musical Concert at 6:00PM ,21st October 2024 on SUIET OpenAir Auditorium. Entry Fee Rs.300/-

CODEMEET 2025
24hrs-Hackathon 24hrs-Hackathon 24hrs-Hackathon

Webflow community

About us

Join us for an exciting 24-hours offline hackathon at Srinivas University Institute of Engineering and Technology (SUIET) , organized by the Webflow Community, from October 11-13, 2025. The event kicks off with two workshops on October 11, covering essential tech stacks, followed by a hack session starting at 10 AM on October 12. Participants will work on any one of the four predefined problem statements, advancing through the stages of design, development, and final presentations. Judges will evaluate projects based on innovation, functionality, presentation skills, business viability, and other key factors. With carefully curated challenges designed to engage all skill levels, this is a unique opportunity to showcase creativity, teamwork, and problem-solving!

Download Hackathon Rulebook Register Now

Registration Opens

18 September, 2025

Registration Closes

3rd Oct, 2025

Online registration will be closed and spot Registration will be available
[no onspot registration for hackathon]

CodeMeet 2025

11 October, 2025

Technical Events will commence from 10:30 AM. which includes Workshops by Industry Experts followed by Competitions

24hrs Hackathon Kick-off

12 October, 2025

24hrs Hackathon will begin at 9:30 AM

Project Evaluation

13 October, 2025

Evaluation will begin at 9:30 AM.

Problem Statements

Problem 1

Smart Civic Issue Reporting
Local issues like potholes, garbage, and broken streetlights often go unaddressed due to lack of visibility and feedback. There is a need for a transparent platform where citizens can report such problems, track their status, and help authorities prioritize them.

Problem 2

Personalized Learning Assistant
Students face challenges because one-size-fits-all teaching does not match their individual strengths and weaknesses. There is a need for an intelligent assistant that adapts to learners, providing tailored study plans and real-time feedback.

Problem 3

AI for Early Disease Detection
Critical illnesses often go undiagnosed until too late, due to limited resources and delays in analysis. There is a need for AI-based solutions that can detect diseases early from minimal patient data or imaging, enabling faster and more accurate diagnosis.

Problem 4

Smart Disaster Response Platform
During floods, landslides, and urban disasters, victims and responders struggle with poor coordination and slow resource allocation. There is a need for a system that enables quick reporting of emergencies, real-time resource matching, and clear guidance on safe zones for effective disaster relief.