Farmer one-stop solution with AI integration

Traditional farming systems face several challenges due to fragmented digital platforms, language barriers, and limited access to transparent market information. This paper presents the design and implementation of “Farmer One-Stop Solution,” an AI-integrated web platform developed using the MERN (MongoDB, Express.js, React.js, Node.js) stack to support modern agricultural activities. The system combines multiple services into a single platform, including a multilingual AI chatbot named Virtual Krushi Mitra, real-time mandi price analytics, equipment rental services, and an agricultural marketplace.
The chatbot uses the Groq LLaMA-3 model to provide farming guidance in regional languages such as Marathi. To improve market transparency, the platform uses Puppeteer and Cheerio-based scraping techniques to collect and analyze mandi price data from government sources like Agmarknet. The system also supports real-time communication for equipment rental negotiations using Socket.io and integrates secure online payments through Razorpay with HMAC-SHA256 verification.
Performance testing shows fast response times, secure user authentication using JWT and bcrypt, and efficient synchronization of database operations. The proposed platform provides a scalable and user-friendly solution that promotes digital inclusion, market transparency, and smarter decision-making for farmers.