This is the frontend interface for the Digital Twin Dashboard, a web-based platform designed to visualize, simulate, and evaluate the performance of real-time IoT data against simulated data. It features interactive graphs, performance metrics (MAE, MSE, RMSE, MAPE), and statistical summaries from ESP32-based IoT networks.
- ⚛️ React.js – Frontend framework
- 📦 Axios – API client for communicating with FastAPI backend
- 📊 Recharts – For interactive graph visualization
- 💨 Tailwind CSS – Utility-first CSS framework
- 🧪 Vite – Development build tool
- 🌐 Supabase – As a backend database (via API)
- 📈 Graphing (Line Chart) of simulated vs. real IoT data
- 📊 Performance Metrics: MAE, MSE, RMSE, MAPE
- 📋 Statistical Summary: Mean, Median, Std. Dev (actual & simulated)
- 🧠 Dynamic Simulation Controls: Start date, duration, and category
- 💡 Dark Mode UI with modern layout and sidebar navigation
Built with 💡 by Fadel Daniswara Electrical Engineering @ Universitas Indonesia | AIoT & Digital Twin Enthusiast