AgroAssist AI: An Artificial Intelligence Framework for Village Welfare Services Using Multimodal Interaction

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@article{1712465,
      author = {Mounashree N V, Mudasir Pasha, Pradeep R, Sagar K H, Dr. Venkatesh T},
      title = {AgroAssist AI: An Artificial Intelligence Framework for Village Welfare Services Using Multimodal Interaction},
      journal = {Iconic Research And Engineering Journals},
      year = {2025},
      volume = {9},
      number = {6},
      pages = {7-15},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1712465.pdf},
      abstract = {Agriculture remains the backbone of India's economy, yet farmers frequently face challenges in accessing timely information about government schemes, market prices, and modern farming practices. This paper presents AgroAssist AI, an intelligent multimodal interaction platform designed to empower rural farmers through artificial intelligence and machine learning technologies. The system enables seamless communication via text, voice, image, and video inputs in local languages, leveraging Natural Language Understanding, Computer Vision, and Speech Synthesis technologies. Through integration of Gemini AI models and Convolutional Neural Networks, AgroAssist AI achieves real-time processing with an average response time of 2.8 seconds while maintaining 91.4% accuracy across multiple input modalities. The platform successfully bridges the gap between illiteracy and digital access, providing personalized agricultural insights and government scheme information to over 350 test users. A Streamlit-based web interface ensures accessibility across mobile and desktop devices, promoting digital inclusion and enhancing productivity among rural farmers.},
      keywords = {Agricultural AI, Multimodal Interaction, Natural Language Processing, Computer Vision, Digital Inclusion, Voice Recognition},
      month = {December},
      doi = {https://doi.org/10.64388/IREV9I6-1712465}
  }