MediaPipe Hands + OpenAI Gym

The video tutorial explores using MediaPipe and OpenAI Gym for hand tracking and control. It demonstrates controlling a cart-pole system with hand gestures and challenges viewers to adapt this to a temperature control lab. The tutorial includes setting up the environment, installing necessary packages, and implementing the solution in Jupyter Notebook.

Discuss the process of installing the necessary packages for the hand tracking application.

What role does reinforcement learning play in the cart-pole example?

How can the brightness and blinking rate of the LED be controlled using hand gestures?

What modifications are suggested for adapting the hand tracking script to control the TC lab LED?