Flora Amigo

Abstract

Plants play a very important role in our lives; they are the primary source of food for us. Plants create oxygen for us, and they capture sunlight, transforming it into energy, and purifying our air. They are the foundation of life, providing food, shelter, and medicine. From towering trees to microscopic algae, plants shape our world and inspire wonder. Plants like all living organisms also get infected and due to lack of educated farmers the plants get burnt or get destroyed causing food wastage and economical damage. The innovation is an application in Android, which uses advanced technology, particularly Machine Learning (ML) and Deep Learning (DL), for the early diagnosis of diseases in fruits, vegetables, and crops. Convolutional Neural Networks (CNN) are used to evaluate images of plant leaves, enabling the accurate detection of diseases at their earliest stages. For the backend development of this project, Python Flask, TensorFlow, and SQLite Database (DB) are used. The frontend is developed using Dart, Flutter, and the Groq Application Programming Interface (API) chatbot. The application follows a Feature-Driven Development (FDD) approach, which focuses on enhancing user experience and improving accessibility.