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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 14, ISSUE 5, MAY 2025

AGRI ASSIST: AI-DRIVEN AGRICULTURAL SUPPORT SYSTEM

Mrs. Pratheeba. R, Ms. Abinaya. R, Ms. James Soosanna. A

DOI: 10.17148/IJARCCE.2025.14519

Abstract: Agri Assist, an AI-powered Web application that enhances agricultural decision-making through intelligent chatbot interaction and real-time environmental monitoring. Using Natural Language Processing (NLP), the app allows farmers to ask questions in English text format and receive instant responses in both text and speech formats via an integrated Text-to-Speech (TTS) engine. The chatbot provides guidance on crop selection, soil health, weather forecasts, pest management, and government schemes. Agri Assist is further supported by a hardware kit equipped with sensors that collect real-time data on soil pH, moisture, temperature, and humidity. This sensor data is processed to deliver personalized, data-driven farming recommendations. The system is designed with inclusivity in mind, intuitive voice-based interaction, and a user-friendly interface tailored for rural users. Agri Assist empowers farmers with accessible and accurate agricultural insights, promoting smart farming practices and sustainable productivity across diverse environments.

Keywords: Agricultural Technology, Web Application, AI Chatbot, Smart Farming, Text-to-Speech (TTS), Natural Language Processing (NLP), Precision Agriculture, Soil Monitoring, Farmer Assistance, Crop Recommendation System, IoT in Agriculture, Environmental Sensors, Sustainable Farming, Digital Farming Platform

How to Cite:

[1] Mrs. Pratheeba. R, Ms. Abinaya. R, Ms. James Soosanna. A, “AGRI ASSIST: AI-DRIVEN AGRICULTURAL SUPPORT SYSTEM,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.14519