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.
Opens: 10 Sept 2026 Teams must prepare 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 Idea
Deadline: 2nd October 2026, 11.59 pm 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 –
Date: 03 and 04 Oct 2026, 10am - 1pm Teams will present their ideas before the evaluation panel.
Judging Criteria: Creativity, technical depth, feasibility, and potential impact. Round 1 – Final
Announcement: 09 Oct 2026, 09:00 AM IST Shortlisted teams will be announced. Only these teams qualify 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
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 &
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 Statements Track 1: Edge AI & Computer Vision
PS-01: AI-Based Smart Campus Safety System Develop 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 Detection Develop 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.
Venue
Shri Shankaracharya Institute of Professional Management and Technology, Raipur
Raipur, India
PS-03: AI-Based Waste Segregation Build 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 Monitoring Develop 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 People Develop 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 Detection Develop 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 Monitor Develop 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 System Develop 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 Management Develop 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 Optimization Build 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 Detection Develop 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 Monitoring Develop 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 Robot Design 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 System Develop an edge-AI solution capable of detecting driver distraction, drowsiness, lane departure, or nearby obstacles and generating timel