Project Description
KAMATHA is an AI-powered mobile application designed to help farmers detect plant diseases instantly through leaf image analysis. By combining machine learning, real-time diagnosis, multilingual support, and an intelligent chatbot, the app provides farmers with accurate disease detection, treatment recommendations, and preventive solutions to improve crop health and reduce agricultural losses.
Tech Stack Skills
Technologies used in the development of the project.
HTML
CSS
JavaScript
Netlify
Screenshot Project
Details
Name: Kamatha Website
Status: Completed
Year: March 2025
Preview
KAMATHA Home Screen
The home screen serves as the main entry point of the KAMATHA mobile app, providing farmers with quick access to disease detection, chatbot assistance, and key features in a simple and user-friendly interface.
Real-Time Disease Detection
This feature allows farmers to capture or upload leaf images to instantly detect plant diseases using a trained CNN model, providing fast and accurate results.
Detection Results & Recommendations
After processing the image using AI (Gemini API), the app displays the detected disease along with causes, prevention methods, and both natural and chemical treatment solutions.
AI Chatbot Assistant
The AI-powered chatbot helps farmers get detailed information about plant diseases, latest agricultural updates, and personalized solutions through an interactive chat interface.
Multi-Language Support
KAMATHA supports multiple languages, ensuring accessibility and ease of use for farmers from different regions and language backgrounds.
User-Friendly Interface
Designed with simplicity in mind, the app offers an intuitive and responsive interface, making it easy for farmers to navigate and use all features efficiently.
Chat History Storage
The app securely stores chat history, allowing users to revisit previous conversations and access important agricultural advice anytime.
Technology Stack
KAMATHA is built using React, TypeScript, and Tailwind CSS for the frontend, with Firebase handling the backend, database, and storage. AI processing is powered by the Gemini API.
Contributors Project
Ahamed Masry
Developer