Smart Home ENMS — ML-Powered Residential Energy Platform
Built a premium residential energy management platform with 7 Docker services, ML predictions (85%+ accuracy), glassmorphism UI, real-time IoT monitoring, and 15+ API endpoints. Zero-touch deployment in 3 commands.
Full-stack IoT energy management system for smart homes — 7 Docker services orchestrated seamlessly. Features a premium React UI (glassmorphism, smooth animations, 1000+ lines of custom CSS) scored at 9.5/10 design quality. Random Forest ML model delivers 85%+ accuracy on energy consumption predictions. Real-time monitoring across 5 simulated smart home devices at 10-second intervals via MQTT + Node-RED. Includes efficiency scoring with animated SVG gauges, AI-powered smart recommendations with peak/off-peak heatmaps, bidirectional device control, and cost analytics ($0.12/kWh tracking with savings projections). FastAPI backend with 15+ Swagger-documented endpoints, PostgreSQL 15, Grafana dashboards, and complete zero-touch deployment — 3 commands to a fully operational system.