The AI Smart Shopping Assistant is an intelligent offline shopping system that helps users find and recommend products based on their preferences, past purchases, and price trends without relying on external APIs. It features a search and filtering system that allows users to browse products based on name, category, price, and ratings, a machine learning-based recommendation engine that uses collaborative and content-based filtering to suggest relevant items, price trend analysis using past data and regression models to predict future prices, and a basic chatbot powered by NLP to assist users with common queries. The system stores all product and user data locally in a SQLite/MySQL database, ensuring privacy and offline functionality, while the Flask/Django backend processes queries and runs ML models efficiently. The shopping assistant aims to enhance user experience with personalized recommendations and insightful shopping assistance while maintaining full offline operability.
