Plant Disease Classification Web App
A deep learning-powered Streamlit web app designed to classify plant leaf diseases. This project leverages advanced transfer learning techniques to provide accurate and rapid diagnoses.
Dataset: Trained on the PlantVillage dataset.
Models: Utilized VGG16, ResNet50, InceptionV3, MobileNetV2, EfficientNetB0 for transfer learning.
Features: Supports 38 disease classes, image upload, prediction with confidence score, and a user-friendly interface.
Tech Stack: Python, TensorFlow/Keras, Streamlit.