Cassava leaf disease classification using CNN

In this project, I used convolutional neural networks to train a model that can predict if a cassava has a certain disease based on the picture of the cassava plant. I later had to use image augmentation and transfer learning to improve my accuracy.

• Python libraries and Framework used: Docker, Pandas, matplotlib, sklearn, seaborn, Keras, Tensorflow
• Machine learning Algorithms used: Convolutional neural network
• Input: Photo of the cassava plant
• Output: Disease prediction