Agriculture Development through Generative AI

Abstract: The agricultural sector in India faces significant challenges due to climate unpredictability, pest outbreaks, and inadequate access to precision tools for farmers. This paper presents a comprehensive platform that integrates Generative AI with modern web technologies to enhance agricultural decision-making. Developed using Django (backend) and Next.js (frontend), the solution delivers crop prediction, soil health analysis, pest detection, market monitoring, and an interactive AI chatbot. The model leverages machine learning (Random Forest, deep neural networks) and GPT-based AI to produce dynamic, context-aware advisories. Testing indicates high reliability, scalability, and ease of use for farmers with varying levels of technological proficiency. The design is user-centered, optimized for both desktop and mobile access, and adaptable to diverse environmental and geographic scenarios.