AI-Powered Crop Disease Detection Platform
Built an AI-powered crop disease detection system that processes uploaded plant images and outputs diagnostic predictions. Implemented image preprocessing pipelines to prepare visual inputs for machine learning models and improve prediction accuracy. Applied computer vision techniques to identify disease-related patterns from images and iteratively refined model performance through training and evaluation. • Image preprocessing and feature preparation for model input • Computer vision-based disease pattern learning and evaluation • Iterative training and testing to improve diagnostic predictions • User workflow support for image upload and automated diagnosis