· Developed an innovative web tool with Flask to identify maize plant diseases, utilizing advanced CNN algorithms and Transfer Learning techniques to achieve a 95% accuracy rate. · Engineered a web application using Flask microframework to detect plant diseases, achieving a 90% accuracy rate in maize disease identification through CNN and Transfer Learning
· Developed a web application utilizing the Flask microframework for plant disease detection. - Utilized Convolutional Neural Network (CNN) and Transfer Learning to detect diseases occurring on maize plants. · Offers a comprehensive solution for identifying maize plant diseases, their symptoms, and corresponding treatments. - Provides functionalities for generating reports and enables users to provide feedback to administrators for continuous improvement