Looking to bring intelligence into your embedded systems? I will help you design and simulate AI-based embedded systems using platforms like Arduino, ESP32, or Raspberry Pi, with integration of Python, sensors, and machine learning models.
From simple automation to smart sensor-driven projects, Ill provide a complete embedded solution that is smart, scalable, and ready to test.
- AI/ML logic implementation using Python (TensorFlow, scikit-learn, etc.)
- Arduino/ESP32 interfacing with sensors (temperature, IR, ultrasonic, etc.)
- Smart systems (e.g., motion detection, face recognition, object tracking)
- Data collection and preprocessing from sensors
- Control output devices (relays, LEDs, motors, etc.) based on AI decisions
- Integration of machine learning models with microcontrollers (TinyML)
- Simulated results and code explanation
Deliverables:
- Python and Arduino source code
- Block diagram of the system
- Documentation or description of the logic
- Simulation results (if applicable)
- Library and setup instructions
Why Choose Me?
- Background in Embedded Systems and AI integration
- ️ Strong grip on both hardware and machine learning logic
- Clean, well-documented, and scalable code
- Focused on practic