Intelligent Forest Monitoring AI System

Project Title: AI based – Production Grade Smart Forest Monitoring System

We are looking for an experienced Full Stack AI developer/team to build a production-grade AI platform for real-time forest monitoring and wildlife protection. The solution will use Edge AI devices, AI-enabled Swarm Drones, and environmental sensors to detect wild animals, humans, fire, and smoke, collect real-time environmental data, and securely transmit it to AWS Cloud. A Flutter mobile application will provide live monitoring, intelligent alerts, GIS mapping, analytics, drone management, and remote device management. The system should be scalable, secure, modular, and support OTA updates for both edge devices and drones.

Tech Stack
- Edge AI: Raspberry Pi 4 / Industrial Edge Computer, Python, OpenCV, ONNX Runtime, YOLOv8
- Swarm Drones: PX4/ArduPilot, MAVSDK/MAVLink, DroneKit, ROS 2 (preferred), AI-based autonomous swarm coordination
- Mobile App: Flutter
- Backend: Python (FastAPI)
- Cloud: AWS IoT Core, API Gateway, Lambda, DynamoDB, S3, SNS, CloudWatch
- Communication: MQTT, REST APIs, WebSockets
- Authentication: JWT, AWS Cognito
- DevOps: Docker, GitHub Actions (CI/CD)
- Monitoring: CloudWatch, Logging & Alerting

Experience Required: AI/Computer Vision, Edge AI, Raspberry Pi, Swarm Drone Development, PX4/ArduPilot, AWS IoT, Flutter, FastAPI, and Production Cloud Applications.