Source: unstop Remote / Online
HackNext'26 Series 2.0
Organized by SNS College of Technology (SNSCT), Coimbatore, Tamil Nadu•university•North America
DEADLINESep 17, 20265 Days Remaining
EVENT DATESSep 17 - Oct 9Timeline window
PRIZE POOL🏆 Certificates & SwagVerified bounties
HackNext'26 Series 2.0
About the Opportunity
HackNext 2.0 is a 24-hour hackathon organized by SNS College of Technology at the AI Campus on 8–9 October 2026.Team Size: 1–4 MembersRegistration Fee : ₹500 per headProblem Statement is provided on the spotCase Price : Upto ₹20000Focus: Innovative Idea • Understandable Coding • Better PresentationVenue: AI Campus, SNS College of TechnologyLast Date to Register: 6 October 2026Hackathon Date: 8–9 October 2026Hackathon Duration: 24 HoursReporting Time: 8:30 a.m. (08/10/2026)Registration Link Google Form: Click here to Register for HackNext 2.0GuidelinesParticipants can register individually or form a team of 1–4 members.The problem statement will be announced on the spot.Participants may use any suitable programming language, framework, or technology.Teams must build their solution within the 24-hour hackathon period.Participants must bring their own laptop and required accessories.Teams should be prepared for a final project demo and presentation.Participants are responsible for their personal belongings and electronic devices. Organizers will not be responsible for any loss or damage.RulesEach participant can be part of only one team.Teams must work only on the problem statement assigned during the hackathon.Previously completed projects cannot be submitted as the primary solution.Plagiarism or copying another team's work will lead to disqualification.Teams must be able to explain their code and implementation to the judges.Any form of cheating, manipulation, or unfair practice will result in disqualification.Teams must complete and submit their solution within the specified deadline.The judges' decision will be final and binding.Participants must follow the instructions of the organizers throughout the event.
Relevant Tech & Domains
AI / Machine Learning
Score Composition (0–100)
Hiring Potential (25%)30%
Organizer Prestige (20%)85%
Accessibility & Format (15%)100%
Data Quality (10%)85%