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The document outlines a project focused on crop disease detection using a Django-based web application that allows users to upload leaf images for analysis by pre-trained machine learning models. This system enhances the accuracy and speed of disease identification, providing actionable insights for agricultural stakeholders. Key modules include user authentication, image upload, disease detection, and result display, utilizing technologies such as Django, TensorFlow, and OpenCV.

Author

msdeepakappu1809

Language

EN