Team Members

Donya Mohamed Mohy Eldien

Team Leader

Mennat Allah Hisham  

Team Member

Mazen Mohamed

Team Member

Dannel Maged

Team Member

Supervisors

Prof. Abdel Nasser H. Zaied

Professor

Eng. Yomna Hassan

Senior Teaching Assistant

Eng. Ahmed Hazem

Teaching Assistant

Abstract

The main idea of this project is to combine artificial intelligence and genomics to make a system using genome analysis to find knowledge about the genetic profile of a person. The system should tell whether that person is an athlete or not, recommend suitable sports for him/her, check the possibility of having certain injuries, and show the effects of each genotype on him/her. Our challenge is to help athletes to improve their performance, and help them avoid some injuries that may prevent them from playing and the non-athletes to find the sport that matches them the best.

System Objectives

The main goal in our project is to have a system that can predict if the user is an athlete or not according

to his/her analysis, Then recommend a sport according to his/her mutation in specific genes. In the end,

our system may warn the user of any guaranteed diseases according to his genes and analysis .

System Scope

• Our system main features are

1. Classifying whether the user is an athlete or not depending on 10 genes and PH-value

2. Based on his mutation in ACE and ACTN3 genes , our system will view him a descriptive analysis of his genes and will recommend a suitable sport for him.

3. In addition, The system will predict the possibility of having some injuries 

Documents and Presentations

Proposal

You will find here the documents and presentation for our proposal.

Document

Presentation

SRS

You will find here the documents and presentation for our SRS.

Document

presentation

SDD

You will find here the documents and presentation for our SDD.

Document

presentation

Thesis

You will find here the documents and presentation for our Thesis

Document

Presentation

Accomplishments

Publications

Competitions

Paper Title

Competition Title

Detail Text