International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Volume 7 Issue 2
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AgriGuide – AI Powered Voice Assistant For Farmers

Author(s) Palepu Akash, Pasam Sai Rakesh, Sonia Jenifer Rayen
Country India
Abstract Smart farming is revolutionizing Agriculture by integrating technology to optimize Practices and boost productivity. With over 11 crore rural Indians accessing the internet via mobile devices, the Digital adoption among farmers is rapidly increasing. This project introduces a chatbot, designed to Empower farmers with real-time assistance, expert Guidance on farming practices, and market insights. The Chatbot leverages natural language processing (NLP) And machine learning (ML) to provide personalized Recommendations and support, catering to the unique Needs of each farmer. By addressing common challenges Like crop selection, pest management, weather Predictions, and market price trends, the chatbot bridges the gap between advanced farming techniques and rural Communities. Additionally, it serves as an accessible tool for farmers who may not have formal agricultural Education, offering its services in multiple regional Languages to ensure inclusivity. This project highlights the transformative potential of digital solutions in Agriculture, enabling farmers to make data-driven Decisions and improve yield quality and profitability. The Smart farming chatbot aims to play a pivotal role in Accelerating rural India's digital transformation and enhancing the overall agricultural ecosystem.
Keywords Q&A Chatbot, Natural Language Processing, Agriculture, Machine Learning, Farmer Assistance, AI assistant, Multimodal AI, Farming Assistance.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 7, Issue 2, March-April 2025
Published On 2025-03-08
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E-ISSN 2582-2160
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