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- 1.52 kB initial commit
- 213 Bytes Build a professional, responsive, and real-time dashboard website for a project called AeroSense – AI-Powered Environmental Quality Monitoring Drone. The dashboard should allow users to monitor, manage, and analyze drone-collected data from industrial zones. 📊 Main Dashboard Page: Real-time telemetry data display from drone (altitude, speed, battery level, GPS) Map view (with live GPS drone path tracking) Environmental sensor readings in real-time: Air Quality Index (AQI) score PM2.5 / PM10 Levels CO, NO₂, SO₂, VOC levels Temperature & Humidity Live camera feed or snapshots from the drone Smoke/Fire detection alert banner (based on image processing results) Pollution Risk Level (AI-inferred: Low, Moderate, High, Hazard) 🗂️ Mission Planning & Management: Interface to configure new drone missions (waypoints, altitude, duration) Start/stop drone missions Upload flight logs or data files 🧠 AI Analysis Page: Upload or auto-analyze flight data and sensor logs Run AI model to detect pollution trends, anomalies Show charts and graphs: Pollution level trends over time Heatmaps of gas/smoke concentration Smoke/thermal image frames with AI detection 📁 Report Generation: Generate downloadable PDF/HTML reports of flight mission Include environmental data, map paths, detection logs, and image evidence Option to export CSV/JSON data 📱 Notifications & Alerts: Real-time alerts for critical pollution levels or detected smoke/fire Email/SMS alert integration (optional toggle for each mission) 🧩 Tech Stack Suggestions: Frontend: React.js / Next.js with Tailwind CSS Backend: Node.js / Python Flask Map Integration: Leaflet.js / Mapbox Charts: Chart.js or Recharts Live data: WebSocket / MQTT integration AI Model Inference: REST API with TensorFlow / PyTorch models 🎨 UI Theme: Modern, clean dashboard look with environmental feel (green/blue color palette) Use icons for each sensor and clean data card layouts Mobile-responsive for viewing alerts and data on-the-go - Initial Deployment
- 67.7 kB Build a professional, responsive, and real-time dashboard website for a project called AeroSense – AI-Powered Environmental Quality Monitoring Drone. The dashboard should allow users to monitor, manage, and analyze drone-collected data from industrial zones. 📊 Main Dashboard Page: Real-time telemetry data display from drone (altitude, speed, battery level, GPS) Map view (with live GPS drone path tracking) Environmental sensor readings in real-time: Air Quality Index (AQI) score PM2.5 / PM10 Levels CO, NO₂, SO₂, VOC levels Temperature & Humidity Live camera feed or snapshots from the drone Smoke/Fire detection alert banner (based on image processing results) Pollution Risk Level (AI-inferred: Low, Moderate, High, Hazard) 🗂️ Mission Planning & Management: Interface to configure new drone missions (waypoints, altitude, duration) Start/stop drone missions Upload flight logs or data files 🧠 AI Analysis Page: Upload or auto-analyze flight data and sensor logs Run AI model to detect pollution trends, anomalies Show charts and graphs: Pollution level trends over time Heatmaps of gas/smoke concentration Smoke/thermal image frames with AI detection 📁 Report Generation: Generate downloadable PDF/HTML reports of flight mission Include environmental data, map paths, detection logs, and image evidence Option to export CSV/JSON data 📱 Notifications & Alerts: Real-time alerts for critical pollution levels or detected smoke/fire Email/SMS alert integration (optional toggle for each mission) 🧩 Tech Stack Suggestions: Frontend: React.js / Next.js with Tailwind CSS Backend: Node.js / Python Flask Map Integration: Leaflet.js / Mapbox Charts: Chart.js or Recharts Live data: WebSocket / MQTT integration AI Model Inference: REST API with TensorFlow / PyTorch models 🎨 UI Theme: Modern, clean dashboard look with environmental feel (green/blue color palette) Use icons for each sensor and clean data card layouts Mobile-responsive for viewing alerts and data on-the-go - Initial Deployment
- 388 Bytes initial commit