I developed the Coconut Leaf Disease Prediction System, a full-stack application that classifies 11 coconut leaf diseases. It achieved 97.56% classification accuracy and integrates a machine learning model with a Spring Boot application.
For the project, I used TensorFlow, Keras, and MobileNetV3, applying image preprocessing and transfer learning. I also added Grad-CAM visualizations, disease severity estimation, and real-time prediction functionality.
During my Full Stack Development internship at CodSoft, I completed practical web development assignments, including a personal portfolio website, a JavaScript calculator, and a responsive landing page.
