The project aims to develop a robot that can detect plant leaf diseases using machine learning. The robot will capture images of plant leaves with a camera, process them with machine learning algorithms to identify diseases, and avoid obstacles to prevent plant damage. The project involves dataset collection (images of healthy and diseased leaves), pre-processing, model training using Keras or TensorFlow, robot design and implementation, and testing. The images will be resized, and pixel values normalized for model training.