AI-enhanced multi-agent shopping (AMAS) system

This project aims to develop an AI-enhanced multi-agent shopping system. This system may work as a shopping assistant or a recommendation engine. The system will display a wide range of products with details. First, a user needs to register in the system. A registered user can search for a specific product, and the system returns the result of the most relevant items that match the search keywords entered by the user. The system will provide a list of suggested items based on the users search patterns and previous search and purchase history. In particular, the AMAS should be able to Register the user. Allow the user to login to system and check various products online. Guide and support user through his entire shopping experience and sort out products as per user preference/requirements. Arrange and categorize the products. Add the selected items to cart. Customize the users search. The AMAS considers user requirements and shows products matching it. Show related products likely to be bought by user Show various products based on user preference and allow the user to take final decision before making any payments. Allow the user to pay via credit card after total bill is calculated.

a) Find the most important processes. Draw a context diagram and a 0 DFD based on those processes. Select the most complex process and develop a diagram 1-DFD

b) Create a decision table and a tree with three conditions