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Summary
Led the full-stack development of an IoT-based agriculture management mobile application with integrated AI-powered disease detection capabilities.
Highlights
Developed a comprehensive IoT-based agriculture management mobile application using React Native and Expo, enhancing farm efficiency.
Built an integrated plant disease detection system utilizing a CNN deep learning model with 95%+ accuracy, identifying 38 disease classes.
Developed a Flask REST API for plant disease detection, supporting 38 disease classes with dual input methods for robust data handling.
Implemented real-time weather monitoring with hourly/daily forecasts, humidity, wind speed, and precipitation tracking, providing critical agricultural insights.
Designed and developed a modular component architecture with reusable UI components and a consistent styling system, improving maintainability and scalability.