Plant Disease Detection using Computer Vision & Deep Learning

Developed an AI-powered plant disease detection system as a Computer Vision graduation project during the NTI training program.

The system uses DenseNet121 with Transfer Learning and Fine-Tuning to classify plant leaf images into 38 disease and healthy classes.

Key features:

Image preprocessing and data augmentation

DenseNet121-based image classification

Transfer Learning & Fine-Tuning

Class Weights to handle class imbalance

Prediction with Confidence Score

Validation image testing

Interactive Streamlit deployment

GitHub project integration

The project covers the complete workflow from data preprocessing and model training to evaluation and deployment.