iTech Summit 2026

PSG iTech’s Multi-Category Hackathon is here! Have a project idea but your problem statement isn’t listed in other hackathons? No worries — we accept problem statements from any domain and encourage student innovation. Registration - FREE Prize Pool: ₹60,000 + spotlight awards & participation certificates Problem Statement 1: AI Generated Image Detection System Description: With the rapid growth of Artificial Intelligence tools, it has become easy to generate or manipulate images that look very realistic. These AI-generated or AI-edited images are increasingly being misused for fraud, misinformation, harassment, and illegal activities. The objective of this problem statement is to design a system that can automatically detect whether an uploaded image is AI-generated or manipulated, and take preventive action before it causes harm. Use Cases / Examples: 1. Social Media Image Morphing: People are morphing or generating fake images of women or actresses and uploading them on social media platforms. If this system is implemented, the image can be verified during upload. If it is detected as AI-generated, the platform can block or restrict the upload, helping to protect privacy and prevent misuse. 2. Food Delivery Refund Fraud: On food delivery platforms such as Swiggy and Zomato, some users generate fake images of spoiled food using AI tools and upload them to claim refunds fraudulently. An AI image detection system can identify such fake images and prevent false refund claims. 3. General Fraud and Illegal Activities: AI-generated images can be used for fake documents, misleading advertisements, identity manipulation, and other illegal activities. Detecting such images early helps reduce fraud, misinformation, and social harm while promoting responsible AI usage. Problem Statement 2: Smart Crowd Management System Description: Crowd management has become a major challenge in India, especially during large public gatherings such as political meetings, festivals, railway stations, airports, concerts, and religious events etc. Poor crowd control often leads to overcrowding, stampedes, injuries, and loss of lives. The goal of this problem statement is to design an effective system that helps monitor, predict, and manage crowd movement to improve public safety. This is a generic problem statement where participants can select any real-world location and propose a practical solution using software, hardware, IoT, AI, sensors, cameras, mobile applications, or analytics platforms. Participants are encouraged to select any location and design a solution that improves safety, efficiency, and emergency response. Problem Statement 3: Student Innovation Challenge Description: This problem statement encourages students to present innovative ideas that solve real-world problems. Participants are free to propose solutions in software, hardware, embedded systems, IoT, AI, robotics, or hybrid technologies. All innovative ideas with clear problem definition, solution approach, and impact are welcome. Hackathon Structure Total Rounds: 2 Round 1 – Online Screening and Idea Submission (Registration Free) Round 2 – On Campus Final Round (Registration Fee: ₹1,000 per team) Total Prize Pool - 60,000 Awards and Schedule 1 spotlight awards will be given in each problem category. Participation certificates will be provided to all participants of Round 2. Round 1 Tentative Dates: 10/02/2026 to 12/02/2026. Dates and slots will be shared with team leaders via email and WhatsApp. Round 2 Date : 20/02/2026 Round 2 Timing: 8:00 AM to 8:00 PM. Venue for Round 2: PSG Institute of Technology and Applied Research, Coimbatore Snacks will be provided (No full meals). Rules and Guidelines Judges' decision will be final and binding. Teams must bring their own laptops and necessary hardware. Rules, schedules and other procedures will be shared with teams via WhatsApp and email after registration.