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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.

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