Ahmed Osama, Seif Nagi, Marian Kromel, Mafdy Magdy

Publishing Date

March 13, 2022


The document shall outline our goals for the project, with the title “Interaction-based robot for MIU admissions office.” We will be utilizing a mobile application that can be displayed on a mobile or tablet screen. Our project system will work on the MIU campus, especially in the admissions office. The system’s ability to perceive emotion is dependent on facial expressions and voice tones being detected and analyzed. As a result, the system will be fully capable of responding to all admissions inquiries according to the speaker’s language, age, and emotions.

1.1 Purpose

The main purpose of the Software Design Description (SDD) document in our project is to outline the requirements of an Interaction-based robot for the MIU admissions office. By writing this document we are going to represent the idea down on a paper to cover all the project specifics. It provides audiences with an overview of the system’s features so they can understand all our project expectations and make decisions clearly. Besides, understanding more details about the project’s objectives, overview, problem statement, and more. This document illustrates that there will be a Pepper Robot/mobile application in MIU Admissions to help admission staff. That can facilitate them organizing, managing their seasonal tasks. briefly, the final product will be a tablet that able to reply to all the applicant inquiries according to the speaker’s language, age, and emotions.

1.2 Scope

The team members are: Ahmed Osama, Seif Nagi, Marian Kromel, Mafdy Magdy. The expected users are the parents or the students who are applying to MIU. Users will also be from the admission staff. A mobile application is aimed at helping people complete their needed tasks faster and efficiently than a human. The system can help either students or admissions staff. The application’s existence will let the students or the parents don’t waste a lot of time in getting their inquiries answered, and the staff does not waste time in answering frequent inquiries for each student. The tablet has the ability to detect age, gender, and emotions and answer according to these features, in addition, to speaking related to the speaker’s language, either English or Egyptian.

1.3 Overview

This SDD paper is divided into seven sections. Our system’s scope, purpose, overview, and intended audience are all covered in the first section. The system overview, which depicts our system workflow, is the second section. The system’s architecture design, activity diagram, sequence diagram, graph, and class diagram are all included in the third section. The database design is detailed in the fourth section. The fifth section depicts our component design, as well as the algorithms and methodologies we applied. The human interface design is illustrated in the sixth part, which describes how the user will interact with our technology. The requirement matrix is the seventh portion, and it displays which components meet each of the functional requirements. Appendices and references make up the rest of the sections. The overview of this project is to assist the admission staff in their frequent tasks by placing a mobile application or a tablet screen that aimed to reduce repetitive tasks like answering applicant inquiries like, how to apply, what are the fees required for the application, and more questions related to admission procedures. In addition to this, the system is going to reply to random inquiries with people efficiently with different languages depending on speakers’ languages by detecting automatically the user’s language and replying with the same language. Also, the system also can recognize the admission staff and arrange online meetings with them, and communicate according to the speakers’ age, gender, and emotions.

1.4 Intended audience

Our project is supervised by: Dr. Mohamed Elshalakani, Eng. Mahmoud Heidar, and Eng. Mostafa Badr.

The audience committee: Dr. Ashraf AbdelRaouf, Dr. Ayman Nabil, Dr. Essam Eliwa, Dr. Taraggy Mohiy.