Abstract: This project presents an AI-powered system designed to assist farmers by addressing agricultural queries through natural language processing (NLP) and image analysis. Farmers can interact with a smart assistant via text, receiving accurate, AI-driven solutions. The system also allows users to upload images of crops, soil, or diseased plants, enabling computer vision to detect issues and suggest remedies. Regional language support ensures accessibility for non-English-speaking farmers, making the tool more inclusive. Additionally, real-time weather forecasting based on the user's pincode provides crucial environmental insights to aid in decision-making. The solution integrates NLP, computer vision, multilingual support, and weather data to form a comprehensive virtual agricultural assistant. Technologies used include Flask for the backend, Google Gemini AI for text and image processing, OpenWeatherMap API for weather updates, and Google Translator for language translation. The platform is user-friendly, efficient, and designed to empower farmers with timely, intelligent support for improved productivity.

Keywords: Artificial Intelligence (AI), Natural Language Processing (NLP), Computer Vision, Crop Disease Detection, Weather Forecasting, Multilingual Support.

| DOI: 10.17148/IARJSET.2025.125234