super market with chatbot assistance using nltk
DEEPAK KUMAR G,SANTHOSH K U,JAGADEESH S
Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology
ISSN: 2321-3337 Impact Factor:1.521 Volume:6 Issue:3 Year: 14 April,2025 Pages:1950-1955
Abstract
: In today’s fast-paced digital world, supermarkets are increasingly adopting AI-driven solutions to enhance customer experience and streamline operations. A Supermarket Chatbot powered by Natural Language Toolkit (NLTK) can serve as an intelligent virtual assistant, providing realtime support for customers by handling queries related to product availability, pricing, discounts, store locations, and more. This chatbot leverages Natural Language Processing (NLP) techniques, utilizing NLTK for text preprocessing, tokenization, stemming, and sentiment analysis to accurately understand and respond to user inquiries. The chatbot is designed to improve customer engagement, reduce response time, and enhance user satisfaction by delivering efficient, automated support. The system is trained on a dataset containing frequently asked questions and supermarket-related queries. Using pattern recognition and machine learning models, the chatbot processes user inputs and generates meaningful responses. Additionally, it can be integrated into web applications, mobile apps, or kiosks within the supermarket to provide seamless assistance. By implementing an NLTK-based supermarket chatbot, businesses can enhance customer service efficiency, reduce operational costs, and offer a 24/7 self-service solution that ensures customers receive instant support without human intervention
Kewords
AI, Supermarket, Chatbot, Neural Network, Machine Learning
Reference
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