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Real-Time Farming Guidance Via Conversational AI

B. RUPADEVI1, VALLAPU SURENDRA2
1Associate Professor,
2Post Graduate,
Department of MCA,
Annamacharya Institute of Technology & Sciences, Tirupati, AP, India,

Abstract— This paper presents a web-based conversational AI system designed to assist farmers with agricultural queries. Developed using the Flask framework, the application incorporates user authentication and a chatbot powered by Google’s Gemini 1.5 Pro model. Users can register and log in,with credentials securely stored in a MySQL database.The system features intuitive web interfaces for navigation and a dedicated chatbot page, where farmers submit queries via a JSON-based API endpoint. Responses are formatted for clarity, ensuring relevance to farming contexts. The proposed solution enhances accessibility to real-time agricultural guidance, demonstrating the potential of conversational AI to support farming communities effectively.