International Journal of Innovative Research in Computer and Communication Engineering

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TITLE Krishi Samparka: A Multilingual AI Assistant for Farmers
ABSTRACT Agriculture is the primary livelihood for a majority of the Indian population, yet farmers often face difficulties in accessing timely and accurate agricultural guidance. Language barriers, limited extension services, and low digital literacy further restrict the adoption of modern agricultural technologies. This paper presents Krishi Samparka, A Multilingual AI Assistant designed to support Indian farmers through text, image, and voice-based interactions. The system provides assistance related to crop cultivation, fertilizer usage, pest and disease identification, and general farming practices. Krishi Samparka is developed using the Flask web framework, SQLite database, Open Router-based generative AI models, and Google Text-to-Speech (gTTS) for multilingual voice output. The platform supports Kannada, Hindi, Telugu, Tamil, Malayalam, and English, ensuring inclusivity and accessibility. The architecture, module design, database schema, algorithms, implementation details, and experimental evaluation are presented in detail. Results demonstrate that Krishi Samparka is an efficient, scalable, and cost-effective digital agriculture advisory solution
AUTHOR SINDHU K M, HEMALATHA K S, MOULYA S, SANJANA D, TANZILA F MALLAPUR Dept. of Information Science & Engineering, Jain Institute of Technology, VTU, Davanagere, Karnataka, India
VOLUME 177
DOI DOI: 10.15680/IJIRCCE.2025.1312159
PDF pdf/159_Krishi Samparka A Multilingual AI Assistant for Farmers.pdf
KEYWORDS
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