Agriculture Voice Bot Integrated with Crop Prediction Using ML In Telugu

The “Agriculture Voice Bot Integrated with Crop Recommendation using ML in Telugu” project introduces a groundbreaking approach to support farmers through voicebased interactions, encompassing general inquiries and personalized crop recommendations. By harnessing conversational chatbot technology, this system enables farmers to voice their queries and receive interactive responses, akin to widely-used voice assistants such as Siri, Cortana, Watson, and Alexa. Specifically tailored for the agricultural domain, this voice-enabled assistant provides intuitive assistance to farmers, empowering them to enhance farming techniques, increase agricultural productivity, and access crop forecasting assistance. Utilizing Natural Language Processing (NLP), the system analyzes user queries, extracts pertinent keywords, and retrieves precise responses from an extensive Knowledge Base. Furthermore, to facilitate communication in Telugu, the system incorporates Google Text-to-Speech (gTTS) technology, enabling the generation of voice responses in the Telugu language. By integrating Machine Learning (ML) techniques and offering responses in Telugu, this project aims to revolutionize agricultural assistance, providing a user-friendly and effective solution tailored to the needs of farmers.