Final YearAdvancedIoT 18-22 weeks
Smart City IoT Dashboard
A centralized IoT management platform for a smart city — aggregating data from simulated sensors (traffic, air quality, waste bins, smart meters) with real-time dashboards and automated responses.
Next.jsMQTTInfluxDBGrafanaPython (FastAPI)Raspberry Pi/SimulationDocker
Find GitHub repos & source code →How to build it — step by step
- 1IoT Simulation: Use Python scripts to simulate 50+ sensor nodes publishing to MQTT broker (Mosquitto) with realistic data
- 2Data Pipeline: Subscribe to MQTT topics → FastAPI ingestion → InfluxDB time-series storage
- 3Dashboard: Grafana panels for each sensor type; Next.js custom dashboard for public-facing city status page
- 4Automation: Rules engine: if air quality drops below threshold → alert; if waste bin >80% → dispatch notification
Key features to implement
- ✓Real-time sensor data visualization
- ✓Traffic congestion heatmap
- ✓Air quality index with health advisories
- ✓Smart waste management routing
- ✓Predictive maintenance alerts
💡 Unique twist to stand out
Implement digital twin simulation: a 3D browser visualization (Three.js) showing a miniature city with colored overlays for each metric — green/yellow/red based on current sensor values.
🎓 What you'll learn
IoT protocols (MQTT), time-series databases, real-time dashboards, rules engines, and large-scale sensor data management.