Microsoft PowerPoint - [EXT] Solution Challenge 2026 - Prototype PPT Template

● Kindly use the given template for submi�ing your prototype(Make a copy of the template) ● One team is only required to submit one project. ● Follow this template while preparing your presentation. ● You are welcome to add as many POCs and design concepts to support your project. ● The project should be feasible and the team members should be capable enough, to come up with the fully functioning prototype of the same idea, if required. ● In case of queries, kindly reach out to us at [email protected] Note: Prototype must include cloud deployment and use at least one Google AI model or service (e.g., Gemini) as part of the solution..

Team Details a. Team name: TEAM_HANUMAN b. Team leader name: DAGGUPATI NAVANEESWAR c. Problem Statement: Emergency response in buildings is often delayed due to lack of real- time awareness, human panic, and poor coordination, leading to increased risk and loss of lives..

Brief about your solution SENTINEL-X is an AI-powered system that transforms buildings into intelligent environments capable of detecting emergencies and responding instantly. It combines real-time detection, 3D visualization, and smart decision-making to assist both occupants and responders during critical situations..

Opportunities a. How di�erent is it from any of the other existing ideas? Unlike traditional systems that rely on manual alerts, SENTINEL-X works autonomously, detecting and responding without human intervention. b. How will it be able to solve the problem? • Detects emergencies instantly • Provides real-time building visibility • Guides people to safety • Reduces response time drastically C. USP of the proposed solution Zero-delay AI response system with real-time 3D building intelligence”.

List of features o�ered by the solution : Acoustic distress detection 3D X-ray building visualization Intruder / terror detection AI-based safe path navigation Crowd density heatmap Works without internet (mesh network).

Process �ow diagram or Use-case diagram.

Architecture diagram of the proposed solution Frontend: Three.js (3D visualization) Backend: Flask (API + logic) AI Layer: Detection + decision system Communication: Mesh / API- based.

Technologies to be used in the solution Frontend (User Interface) HTML5, CSS3, JavaScript Three.js (3D X-ray building visualization) WebGL (rendering engine for 3D graphics) Backend (Server & Logic) Python (Flask) REST APIs (data communication) AI & Intelligence Layer Google Gemini API (event understanding, decision support) Rule-based AI (threat detection, classification) Visualization & Analytics Real-time heatmap generation (crowd density) 3D spatial modeling (room mapping & tracking) Communication Layer HTTP / REST APIs WebSockets (real-time updates) Mesh network simulation (offline communication) Cloud & Deployment (GDG Requirement ) Google Cloud Platform (GCP) Vertex AI (Gemini integration) Cloud Storage (logs & analytics data) Data Sources (Simulated / Extendable to IoT) Audio sensors (distress detection) CCTV feeds (visual monitoring) Motion sensors (activity tracking) Environmental sensors (fire, smoke, gas) Security & Monitoring API security (authentication & validation) Logging & monitoring (system health tracking).

Snapshots of the MVP.

Additional Details/Future Development (if any) Future Enhancements Real IoT Integration Connect with actual sensors (CCTV, audio, fire, motion) for real-time deployment Advanced AI Models Improve detection accuracy using deep learning for behavior and threat analysis Facial Recognition & Identity Tracking Identify individuals and track movement across floors Drone-Based Monitoring Use drones for live surveillance in high-risk or inaccessible areas Voice-Guided Evacuation Provide real-time instructions to occupants during emergencies Mobile App Integration Send alerts and safe routes directly to user devices Scalability & Expansion Deploy in: Hotels Airports Shopping malls Smart cities Multi-building integration for centralized monitoring System Improvements Faster real-time processing More accurate crowd analysis Predictive risk detection using AI Security & Reliability End-to-end data encryption Fail-safe mechanisms during power/network failure Fully autonomous operation.

Provide links to your: 1. GitHub Public Repository : h�ps://github.com/navaniish/GDG-HACKATHON.git 2. Demo Video Link (3 Minutes) : not done! 3. MVP Link : h�ps://sentinel-xx.netlify.app/ 4. Working Prototype Link : h�ps://sentinel-xx.netlify.app/.

Build O with A1 Solution Challenge Thank You.