Act as an expert technical presenter for Smart India Hackathon 2026. My project is 'OmniSense Edge AI - Mobile Urban Intelligence via Transit Vehicles'. We are converting standard city buses into mobile IoT sensors. Instead of streaming heavy raw video to the cloud, we process dashcam feeds locally on the edge using YOLOv8 and OpenCV. We generate only a 1KB JSON payload and one compressed snapshot per event, sent to a Flask/Leaflet.js dashboard. I want you to create a 6-slide presentation following the SIH format. DO NOT use long paragraphs. Use flowcharts, block diagrams, tables, and short bullet points. STRICT DESIGN RULE: There must be NO EMPTY WHITE SPACE on any slide. If a layout leaves empty space, automatically fill it with relevant high-quality tech images, 3D isometric smart city illustrations, abstract edge computing backgrounds, or relevant AI vector graphics to make the slides look premium, dense, and visually stunning
Act as an expert technical presenter for Smart India Hackathon 2026. My project is 'OmniSense Edge AI - Mobile Urban Intelligence via Transit Vehicles'. We are converting standard city buses into mobile IoT sensors. Instead of streaming heavy raw video to the cloud, we process dashcam feeds locally on the edge using YOLOv8 and OpenCV. We generate only a 1KB JSON payload and one compressed snapshot per event, sent to a Flask/Leaflet.js dashboard. I want you to create a 6-slide presentation following the SIH format. DO NOT use long paragraphs. Use flowcharts, block diagrams, tables, and short bullet points. STRICT DESIGN RULE: There must be NO EMPTY WHITE SPACE on any slide. If a layout leaves empty space, automatically fill it with relevant high-quality tech images, 3D isometric smart city illustrations, abstract edge computing backgrounds, or relevant AI vector graphics to make the slides look premium, dense, and visually stunning
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This project presents an innovative Edge-AI solution where buses function as mobile urban sensors. Utilizing YOLOv8 and OpenCV, local detection is achieved, with data sent as compact 1KB JSON files along with snapshots. The impact is illustrated through a flowchart that connects road events to actionable insights, supported by a Leaflet dashboard for rapid response. The system is designed to scale securely across various city routes, enhancing urban management and response efficiency.