Inspiration
Schools and large educational campuses suffer from massive, hidden energy wastage across HVAC systems, lighting, and everyday appliances due to a lack of real-time telemetry and proactive monitoring. This leads to bloated utility budgets and an unnecessarily high carbon footprint. We were inspired to build School Energy Guardian for the USAII Global AI Hackathon 2026 (Environment Track) to bridge this gap—transforming complex IoT sensor streams into an intuitive, automated, and visually stunning command center that drives real-world climate action.
What it does
School Energy Guardian is an advanced, AI-powered environmental analytics platform designed for school administrators. It continuously monitors campus infrastructure, detects energy anomalies with up to 97% confidence, and provides actionable automated solutions. Through a fusion of real-time data streams, predictive analytics, and an interactive 3D campus visualization, administrators can instantly pinpoint waste, review cost recoveries, and enforce sustainability rules safely.
How we built it
Frontend Architecture: Built using React 18 and Vite, styled with Tailwind CSS, shadcn/ui components, and smooth Framer Motion transitions. 3D Visualization: Developed a fully custom, interactive 3D campus using Three.js featuring 8 detailed buildings, day/night lighting cycles, real-time status rings, and animated energy flow beams. Backend & Data Integration: Powered by Base44 BaaS for robust database entities (EnergyAlert), secure authentication, and real-time live alert simulations. External APIs: Integrated the Open-Meteo API to fetch real-time local weather data, feeding dynamic environmental conditions into our AI weather-energy correlation engine.
Key Features & AI Capabilities
Interactive 3D Campus Model: Explore an immersive 3D environment with camera controls, day/night modes, and a 12-step guided tour complete with browser voice narration (SpeechSynthesis API). AI Anomaly Detection Engine: Neural-powered detection tracking inefficiencies across HVAC, lighting, and appliances. Human-in-the-Loop Safety: A strict administrative verification layer ensuring the AI recommends changes, but a human must explicitly approve them before execution. Advanced AI Tools: Includes a live hacker-style command terminal, an LLM-powered Energy Assistant chat, 24-hour predictive forecasting with confidence bands, an automated ROI calculator, and one-click PDF sustainability report exports. Real-World Impact Visualizer: Instantly translates saved kilowatt-hours into tangible metrics like trees planted, cars removed, and water saved.
Challenges we ran into
Balancing heavy 3D rendering with Three.js while maintaining a responsive, smooth dashboard layout on PC screens required careful scene optimization, custom shaders, and modular UI grid arrangements. Synchronizing real-time asynchronous data streams with smooth visual transitions and audio feedback during the 3D guided tour also demanded rigorous state handling.
What's next
We plan to scale School Energy Guardian toward multi-school district networks, integrate real hardware IoT sensor web-hooks for live institutional deployment, and introduce gamified peer-to-peer campus sustainability challenges.
Built With
- artificial-intelligence
- base44
- framer-motion
- javascript
- medo
- react
- recharts
- tailwind-css
- three.js
- webgl


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