Source: unstop Remote / Online
Software Hackathon Convergence 2k26
Organized by Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering & Technology, Telangana•university•India
DEADLINESep 18, 20265 Days Remaining
EVENT DATESSep 18 - Sep 19Timeline window
PRIZE POOL🏆 Certificates & SwagVerified bounties
Software Hackathon Convergence 2k26
About the Opportunity
OverviewAs part of Convergence 2k26, the 27th National Level Annual Technical Symposium of VNR VJIET, the Software Hackathon provides a platform for students to apply their technical knowledge and innovative thinking towards solving contemporary real-world challenges.The hackathon is designed to encourage participants to develop practical and impactful solutions through collaboration, creativity and technology. Teams will work within a limited time frame to analyse problem statements, conceptualise solutions and develop functional prototypes. The event will be conducted offline at VNR VJIET, Hyderabad, on 18th and 19th September, 2026.Domains:FintechProcurement and LogisticsClimate, Energy & Green TechnologiesHealthcare Tech & WellnessHackathon Process:Identify a challenge from the problem statements provided across the respective domains.Build a practical and innovative solution by leveraging technologies of your choice.Prepare and submit the required deliverables according to the instructions and timeline provided.Entries will be reviewed and shortlisted based on their originality, feasibility, technical execution and potential for real-world application.Access the hackathon problem statements, guidelines, sample ppt template here.Team Size:3 - 4 MembersDuration:24 Hours (Offline)Venue:E-Block, VNR VJIET, HyderabadEvent Highlights:A competitive environment designed to encourage innovation.Hands-on experience in rapid solution development.Exposure to diverse technologies, ideas, and problem-solving approaches.
Relevant Tech & Domains
General Technology
Score Composition (0–100)
Hiring Potential (25%)30%
Organizer Prestige (20%)85%
Accessibility & Format (15%)100%
Data Quality (10%)85%