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Food Recommender System CS619 Final Project Fall 2020

Food Recommender System

Project Domain / Category

Web Programming

 

Abstract / Introduction

 

Food Recommender System, recommends relevant food item(s) to a customer/user, it basically works on the “user interest”. The main aim of this project is to develop a module which can help any website or application and its users while recommending relevant food items to its customers. Customer will provide its interest in search bar or in his/her profile which saves time of the customer as the system will recommend food items those are relevant to his/her interest. Customer can order a food item, view the relevant food items recommendations, contact to support staff and admin. When a user enters the name of a food item e.g. burger in search bar, different types of available burgers/fast food items recommendations will appear in the right slider of the application. For the any type of inquiry, user can contact to the support staff and for profile/password relevant issues, user can contact to the administrator. Administrator will verify from the physiotherapist before entering the receipt. Moreover, customer can submit his/her feedback about the application, support staff and services e.g. provided recommendation was helpful or not?, etc.

 

Functional Requirements:

 

Here, following Minimum modules for Food Recommender System

  • Customer/User Module

 

In this module, customer can search a food item according to his/her choice, order item, view recommended item, select recommended item, search for more recommendations and pay money through credit card, cash on delivery, through online banking, generate payment receipt, submit feedback, Contact to support staff etc.

  • Administrator Module

 

In this module, administrator will manage the sign up requests from the users (customers and support staff), approve /reject their feedback, etc.

 

  • Support Staff

 

Support staff can track order, contact to delivery boy, provide assistance to the customer, etc.

Note: It is advised to attend Sessions for better Guidance and details.

 

Tools:

Java J2EE, JServlets, JSP, JSF

HTML, J Query, CSS

IDE Netbeans

MS Visio

 

My SQL

 

Supervisor:

Name: Shafaq Nisar

 

Email ID: shafaq.nisar@vu.edu.pk

Skype ID: shafaqnisar1

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