Navonmesh 26 - A National Level Hackathon (In Collaboration with Qualcomm)

Hackathon Guidelines: Eligibility & TeamTeam 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 ISTTeams 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 detailsInnovative approachFeasibility and implementation planExpected impactIdea Submission Deadline:Deadline: 30 Sept 2026, 12:00 AM ISTTeams 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 ISTTeams 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 ISTShortlisted teams will be announced.Only these teams qualify for Round 2.Registration for Round 2:Deadline: 15 Oct 2026, 09:00 AM ISTOnly 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 ISTEnd: 02 Nov 2026, 09:00 AM ISTTeams 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 ISTResults will be declared after evaluation.Winning teams will receive prizes, certificates, and recognition during the closing ceremony.Themes & Broad Problem Areas:Problem StatementsTrack 1: Edge AI & Computer VisionPS-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 TechnologyPS-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 & SustainabilityPS-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 & RoboticsPS-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 & IoTPS-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