AI on Embedded Platforms using Raspberry Pi
Pre-requisites
- Basic Python programming
- Fundamentals of machine learning
- Familiarity with electronic components (GPIO, sensors)
Tools
- Hardware: Raspberry Pi 4, DHT11, LDR, MCP3008, Pi Camera, LEDs
- Software: Raspberry Pi OS, Python, TensorFlow Lite, OpenCV, Matplotlib
- Languages: Python (with libraries for ML, vision, and GPIO control)
Take away
- Complete knowledge of deploying AI on Raspberry Pi
- Build end-to-end sensor-based and vision-based AI systems
- Hands-on experience in real-time AI inference and automation
- Final project integrating sensors and computer vision
