• PINNINTI SAI KUMAR
• Dr. G. SUVARNA KUMAR

AgriVoice is an intelligent, multilingual assistant aimed at empowering Indian farmers by offering agricultural guidance via both voice and text communication. It addresses common challenges in rural agriculture such as language barriers [4], low digital literacy [11], and lack of access to timely data [11]. The system uses OpenAI’s GPT model [1] for natural language understanding and integrates Google Cloud’s Text-to-Speech (TTS) [3] and Speech-to-Text (STT) [2] for voice interaction. Google Translate API [4] enables communication in major Indian languages, making the chatbot highly inclusive and user-friendly. The platform offers essential services including crop recommendations based on soil, season, and region [10]; weather forecasts using the OpenWeather API [5]; market insights with live crop prices and trends sourced from Agmarknet [6]; the system also offers tailored information on government loans and subsidies [13], customized according to individual user profiles. Users can register securely with OTP-based email authentication and manage their profiles with details like location, farming type, and language preferences. All chat data is stored in MongoDB [7]. Developed using Flask [8] for the backend and HTML/CSS/JavaScript [9] for the frontend, AgriVoice ensures a responsive and accessible interface. By combining AI [1], multilingual support [4], and voice technology [2][3], AgriVoice empowers farmers with accurate, localized information to make better farming decisions and improve productivity.

Agriculture, GPT, Voice Interface, Multilingual Chatbot, Crop Recommendation, Weather Forecasting, Market Price Trends, TTS, STT

"AGRIVOICE-MULTILINGUAL VOICE & TEXT FARMING ASSISTANT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.g87-g98, July-2025, Available :http://www.jetir.org/papers/JETIR2507621.pdf

"AGRIVOICE-MULTILINGUAL VOICE & TEXT FARMING ASSISTANT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. ppg87-g98, July-2025, Available at : http://www.jetir.org/papers/JETIR2507621.pdf