Design and Development of an AI-Powered Smart Farming Assistant for Precision Agriculture

This paper presented the design and implementation of the Smart Farming Assistant, a full-stack web-based intelligent platform developed to support farmers throughout the crop lifecycle. The system integrates React.js, Node.js, Python ML models, Google Maps API, and OpenWeatherMap API to deliver crop disease detection, data-driven recommendations, location-based services, and weather forecasting within a unified multilingual interface. Implementation results demonstrate that the platform effectively assists farmers in making timely, informed agricultural decisions while reducing dependence on scarce extension officer resources. The Tamil language support meaningfully extends the platform's reach to rural communities that have historically been underserved by agricultural technology solutions. The proposed solution demonstrates the practical application of artificial intelligence and modern web technologies in precision agriculture. The platform serves as a scalable and extensible foundation for ongoing smart farming capability development.

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