Project Description
The MaizeFriend repository contains a cross-platform application developed to detect corn diseases. This project leverages the power of React Native to deliver a seamless user experience on both iOS and Android devices, empowering farmers to quickly identify and manage corn diseases.
Programming Languages
- JavaScript: 95%
- TypeScript: 5%
Key Features
- Disease Detection: Utilizes advanced image recognition algorithms to detect various corn diseases from user-uploaded photos.
- User-Friendly Interface: A clean and intuitive user interface designed for ease of use by farmers and agricultural professionals.
- Real-Time Analysis: Provides real-time analysis and feedback on the health status of corn plants.
- Cross-Platform Compatibility: Developed with React Native, ensuring compatibility and a consistent experience across both iOS and Android platforms.
- Educational Resources: Offers comprehensive information and resources about different corn diseases and their management practices.
Technologies Used
- React Native: For developing a single codebase that works seamlessly on both iOS and Android platforms.
- JavaScript and TypeScript: For building robust and maintainable application logic.
- TensorFlow.js: For implementing machine learning models directly in the application for real-time image processing.
- Redux: For state management, ensuring efficient data flow within the application.
- Expo: For streamlining the development process and providing easy access to native APIs.
Project Highlights
- Innovative Solution: The project addresses a critical need in the agricultural sector by providing a technological solution to detect and manage corn diseases efficiently.
- Cross-Platform Development: Demonstrates expertise in cross-platform mobile application development using React Native, ensuring a broad reach and user base.
- Machine Learning Integration: Showcases the integration of machine learning models for real-time disease detection, highlighting proficiency in AI and ML technologies.
- User-Centric Design: Focused on delivering a user-friendly experience tailored to the needs of farmers, with easy navigation and quick access to vital information.
- Educational Impact: Aims to educate users about corn diseases and promote better agricultural practices through accessible information and resources.
Links
- Mobile App: GitHub - alrescha79-cmd/MaizeFriend-ReactNative
- Prototype: Figma - MaizeFriend/prototype
- Backend API: GitHub - alrescha79-cmd/flask-tf-api