Real-Time Farming Guidance via Conversational AI
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.
Authors
- RUPADEVI RUPADEVI
Publication Details
- Journal
- International Scientific Journal of Engineering and Management
- Published
- 2025-05-09
- DOI
- https://doi.org/10.55041/isjem03439
- Primary Topic
- Robotics and Automated Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00