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Gangisetty Ravishankar,
Chirag S.,
Kempanna M.,
- Student, Department of artificial intelligence and Machine Learning, Bangalore Institute of Technology, Bengaluru, Karnataka, India
- Student, Department of artificial intelligence and Machine Learning, Bangalore Institute of Technology, Bengaluru, Karnataka, India
- Associate Professor, Department of artificial intelligence and Machine Learning, Bangalore Institute of Technology, Bengaluru, Karnataka, India
Abstract
Bamboo farming is essential for sustainable agriculture and environmental preservation. This project presents BambooBuddy, a chatbot developed to assist farmers and surveyors in managing bamboo-related inquiries. The system leverages a structured dataset stored in recommendations.csv to provide precise and relevant recommendations based on user queries. By utilizing the Flask framework for web development and incorporating Cohere’s natural language processing capabilities, BambooBuddy facilitates seamless interaction and enhances user experience. The chatbot addresses key topics such as ideal soil conditions, irrigation practices, and maintenance techniques, contributing to informed decision-making in bamboo farming. The results demonstrate the effectiveness of the chatbot in delivering actionable insights, supporting the promotion of bamboo as an eco-friendly crop.
Keywords: Bamboo cultivation, Chatbot, Natural Language Processing, Flask, Recommendations, Sustainable agriculture, Soil conditions, Irrigation practices, User interaction, Environmental conservation.
[This article belongs to Current Trends in Information Technology (ctit)]
Gangisetty Ravishankar, Chirag S., Kempanna M.. The BambooBuddy: An AI-Powered Chatbot for Enhancing Bamboo Yield in India. Current Trends in Information Technology. 2025; 15(01):-.
Gangisetty Ravishankar, Chirag S., Kempanna M.. The BambooBuddy: An AI-Powered Chatbot for Enhancing Bamboo Yield in India. Current Trends in Information Technology. 2025; 15(01):-. Available from: https://journals.stmjournals.com/ctit/article=2025/view=192932
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Current Trends in Information Technology
Volume | 15 |
Issue | 01 |
Received | 13/12/2024 |
Accepted | 04/01/2025 |
Published | 08/01/2025 |