Hackathon Guidelines: Eligibility & Team
Team Composition: Minimum 3 members and maximum 5 members.
Team Leader: Each team must designate one leader.
Cross-College Teams Allowed: Members can be from different colleges.
Restriction: A student can participate in only one team.
Competition Structure:
Idea Submission Open:
Opens: 10 Sept 2026, 11:07 PM IST
Teams must upload a presentation (PPT/PDF) before 3rd Oct 2026 describing their problem statement and proposed solution in the format given below.
PPT Format must include:
Problem details
Innovative approach
Feasibility and implementation plan
Expected impact
Idea Submission Deadline:
Deadline: 30 Sept 2026, 12:00 AM IST
Teams must complete registration and idea submission before the deadline.
Each team must have 3–5 members with one designated leader.
Cross-college teams are allowed.
A participant can join only one team.
Round 1 – Idea Presentation:
Date: 08 Oct 2026, 11:08 PM IST
Teams will present their ideas before the evaluation panel.
Judging Criteria: Creativity, technical depth, feasibility, and potential impact.
Round 1 – Final Selection List:
Announcement: 09 Oct 2026, 09:00 AM IST
Shortlisted teams will be announced.
Only these teams qualify for Round 2.
Registration for Round 2:
Deadline: 15 Oct 2026, 09:00 AM IST
Only shortlisted teams from Round 1 can register.
Registration Fee: ₹1000 per head (non-refundable)
Round 2 – Offline Hackathon (24-Hour Challenge):
Start: 01 Nov 2026, 09:00 AM IST
End: 02 Nov 2026, 09:00 AM IST
Teams will work continuously for 24 hours to develop their prototype.
Evaluation will be based on innovation, execution, teamwork, and applicability.
Prize Distribution & Winner Announcement:
Date: 02 Nov 2026, 01:00 PM IST
Results will be declared after evaluation.
Winning teams will receive prizes, certificates, and recognition during the closing ceremony.
Themes & Broad Problem Areas:
Problem Statements
Track 1: Edge AI & Computer Vision
PS-01: AI-Based Smart Campus Safety SystemDevelop an edge-AI solution that can detect potentially unsafe situations such as crowding, falls, unauthorized entry, or abnormal activity using cameras and provide real-time alerts without continuously sending sensitive video data to the cloud.
PS-02: Intelligent Road Hazard DetectionDevelop an on-device computer vision system that identifies potholes, road cracks, obstacles, pedestrians, and other hazards in real time and provides alerts to drivers or authorities.
PS-03: AI-Based Waste SegregationBuild an intelligent system capable of identifying different categories of waste using computer vision and automatically assisting in segregation at the point of disposal.
PS-04: Smart Retail Shelf MonitoringDevelop an edge-AI solution that detects empty shelves, misplaced products, and inventory conditions using cameras and provides real-time notifications.
Track 2: Healthcare & Assistive Technology
PS-05: AI-Powered Assistive System for Visually Impaired PeopleDevelop a portable intelligent device that uses computer vision and on-device AI to identify obstacles, objects, signs, or people and communicate useful information through audio or haptic feedback.
PS-06: Edge AI-Based Elderly Fall DetectionDevelop a privacy-preserving system that detects when an elderly person falls and automatically generates an emergency alert without requiring continuous cloud processing.
PS-07: Intelligent Stress & Wellness MonitorDevelop an edge-AI system that analyzes physiological or behavioral signals to estimate stress/wellness levels in real time and provide personalized recommendations.
PS-08: Smart Medicine Management SystemDevelop an intelligent connected device that helps users manage medication schedules, detects missed doses, and provides alerts to caregivers when necessary.
Track 3: Smart City & Sustainability
PS-09: Intelligent Traffic ManagementDevelop an edge-AI system that analyzes traffic conditions in real time and dynamically recommends signal timing or traffic-routing strategies to reduce congestion.
PS-10: Smart Energy OptimizationBuild an IoT and Edge AI solution that monitors electricity consumption and intelligently recommends or automatically implements energy-saving actions.
PS-11: AI-Based Water Leakage DetectionDevelop a sensor-based intelligent system that detects abnormal water flow or leakage and generates real-time alerts to minimize water wastage.
PS-12: Smart Air Quality MonitoringDevelop a low-cost connected device that monitors environmental parameters and uses edge intelligence to identify pollution patterns and provide actionable alerts.
Track 4: Smart Mobility & Robotics
PS-13: Intelligent Autonomous Delivery RobotDesign a small autonomous robot capable of navigating a defined environment, avoiding obstacles, identifying its destination, and safely delivering objects.
PS-14: AI-Based Driver Assistance SystemDevelop an edge-AI solution capable of detecting driver distraction, drowsiness, lane departure, or nearby obstacles and generating timely warnings.
PS-15: Smart Agricultural RoverDevelop an autonomous agricultural robot that can monitor crops, identify plant health conditions, detect weeds, or assist with precision agriculture.
PS-16: Search-and-Rescue Intelligent RobotDevelop a robotic system capable of navigating hazardous or difficult environments while detecting people, obstacles, temperature anomalies, or other indicators useful during rescue operations.
Track 5: Connected Intelligence & IoT
PS-17: Smart Home Energy GuardianDevelop an intelligent IoT system that monitors household appliances and automatically identifies unnecessary energy consumption and abnormal usage patterns.
PS-18: Intelligent Industrial Monitoring SystemDevelop an edge-IoT solution that monitors machines using sensors and detects abnormal operating conditions before equipment failure occurs.
PS-19: Smart Agriculture Monitoring PlatformBuild an IoT system that monitors soil moisture, temperature, humidity, and other agricultural parameters and uses AI to recommend irrigation or crop-management actions.
PS-20: Connected Disaster Alert SystemDevelop a resilient IoT-based system capable of detecting conditions such as floods, fires, earthquakes, or other environmental hazards and distributing local emergency alerts even when conventional connectivity is limited
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