AI Crop Disease Detection
Built a convolutional neural network to classify crop diseases from leaf images, handling the full pipeline from raw data collection and preprocessing through m
Built a convolutional neural network to classify crop diseases from leaf images, handling the full pipeline from raw data collection and preprocessing through model training, evaluation, and a Flask-based deployment endpoint. Designed the preprocessing pipeline using OpenCV to normalise and resize images before feeding into the model, ensuring consistent input quality across different data sources. Exposed the trained model as a REST API via Flask so it could accept an uploaded leaf image and return a disease classification with confidence score.