It is an intelligent mobile application developed to improve crop health management through artificial intelligence. The application enables farmers to detect plant diseases by simply uploading images of affected crops. Using a Convolutional Neural Network (CNN) model hosted with Flask, the system accurately identifies diseases and provides instant diagnostic results.

The application is built with Flutter for a seamless cross-platform mobile experience, while Node.js manages the backend services and communication between the mobile application and the machine learning model. Uploaded crop images are securely stored in Amazon S3, where they are processed by the AI model. The prediction results, along with treatment recommendations and prevention methods, are returned to the user in real time.

Beyond disease detection, PlantPulse offers weather-based disease analysis to help farmers anticipate disease outbreaks under changing environmental conditions. The platform also maintains a history of previous diagnoses, allowing users to monitor crop health over time. Additional features such as an AI chatbot, agricultural news updates, and a community discussion platform provide farmers with expert guidance, real-time information, and peer support.

By combining artificial intelligence, cloud storage, weather analytics, and mobile technology, PlantPulse delivers a comprehensive digital farming solution that enables early disease detection, reduces crop losses, and promotes sustainable agricultural practices.