NLP-DRIVEN CHATBOT FOR SEAMLESS AGRICULTURAL AUCTIONS

Innovations in technology have a lot to offer to the agriculture industry, especially when it comes to simplifying the auction procedure for agricultural goods. This study presents a data-fetching approach for pricing crops designed for digital agriculture. The emergence of digital technologies. has revolutionized the agricultural sector, enabling farmers to participate in online auctions to sell their crops. In order to facilitate smooth agricultural auctions, a chatbot powered by Natural Language Processing (NLP) has been developed. The chatbot functions as a user-friendly interface that. facilitates the participation of farmers, buyers, and sellers in auctions. It allows them to access product information, make bids, and streamline transaction processes. Through the application of Natural Language Processing (NLP), the chatbot is able to comprehend user inquiries, ascertain their. intentions, and instantly extract pertinent data from databases, Interacting with the auction platform is made simple and accessible for participants thanks to an intuitive conversational interface. Strength, scalability, and adaptability are given priority in the chatbot's architecture to meet changing customer demands and accommodate a range of auction settings. This study contributes to the advancement of agricultural auction systems by harnessing the power of NLP technology to foster seamless transactions, foster market transparency, and empower stakeholders in the agricultural value chain.