Conversational AI for farmers

Authors

  • R. Venkata Sai Gowtham M.C.A Student, Department of M.C.A, KMMIPS, Tirupati (D.t), Andhra Pradesh, India Author
  • K. Venkata Ramana Professor, Department of M.C.A, KMMIPS, Tirupati (D.t), Andhra Pradesh, India Author

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.

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References

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Published

30-05-2025

Issue

Section

Research Articles

How to Cite

[1]
R. Venkata Sai Gowtham and K. Venkata Ramana, “Conversational AI for farmers”, Int J Sci Res Sci Eng Technol, vol. 12, no. 3, pp. 527–534, May 2025, Accessed: Jun. 04, 2025. [Online]. Available: https://ijsrset.com/index.php/home/article/view/IJSRSET251276