Faculty Of Computer Science Graduation Project 2019 - 2020

Permanent URI for this collectionhttp://185.252.233.37:4000/handle/123456789/3761

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a smart gym in your phone : accuracy techniques with real time implement
(MSA university Faculty of Computer Science, 2020) mohamed mohamed, Adham
the main idea of project studies gymnastic exercise and avoid injuries .promote accuracy of exercises techniques . this project about sporting exercise .many of those exercise technique maybe danger for body . specially weightlifting and gymnastic exercises . techniques for this sport maybe very dangerous for the players if they do wrong techniques on the train And make recovery sessions easy to the user by physical therapy field. .so it players have t be known the accuracy of each technique they do
Cityfy: Big Data Solutions for a Smarter Cairo
(MSA university Faculty of Computer Science, 2020) Ahmed Abdel Khalik, Amr
In response to the ever changing and growing technological aspects of the world. I present my project offer of a software-intensive Smart Cit. The target being Egypt and its citizens. Cityfy is a Big data solution center that contains components that would improve the wellbeing of the users, and provide insight that could lead to newer stages of a greener city.
Fake watermark detection using deep learning
(October University for Modern Sciences and Arts, 2020) Anany, Sheriff Mahmoud
Water mark recognition contained many theories on how to be detected, historical water mark was only done on small scale as there were no public dataset, and the only model was done only comparing historical water mark according to type (Egyptian, Greek … etc.). the problem in historical water mark was that it can’t be recognized by naked eye like other water mark as it contains noise that cover the water mark and some colors are removed which has been dilemma for archeologist. This model used large dataset for historical watermark with the comparison of real and fake ones which hasn’t been made before. This make archeologist work easy and prevent any fake historical watermark to be involved in history.
GIS Utilization for MSA’s Internet Coverage Evaluation
(MSA university Faculty of Computer Science, 2020) Khaled Hassan, Amal
The rapid expansion of telecommunication infrastructure since Nigeria Communication Commission (NCC) issued the first telecommunication operating licence, have necessitated the need for improved management strategies that aim to increase revenue while enhancing customer satisfaction. Geographic Information Systems is a tool for the capture, storing, manipulation, management, analysis and display of geo-referenced information for the purpose of decision making. Recently, the geographic information systems have been used as a tool in telecommunication organizations such the NNC to make improved spatial decisions. GIS has wide range of usages that can improve human daily life. This project proposes to use the geographic information system to ensure well internet coverage at the MSA university.
Smart System For Rotten Food
(October University for Modern Sciences and Arts, 2020) Mohamed, Rana Mamdouh
Classification of fresh and rotten food such as fruits or vegetables is very important for families that have no time to check the food in their refrigerator daily and people who stock large quantities of the food like retailers. The project aims to classify between fresh and rotten food inside refrigerators using CNN, capturing the food by camera to classify if it is good or not. The images are labeled as fresh or rotten according to their physical appearance. A fruit has been chosen for this project(tomato or apple), they are RGB images, fresh and rotten images of the fruit. The results after training the model were very good as the accuracy reaches to 99% and the model could classify between the fresh and rotten fruit but the project was not applied to refrigerator due to the lake of images of food rot inside of it.
Augmented Reality For The Future Of Dentistry
(MSA university Faculty of Computer Science, 2020) Ayman Gerges, Alber
Most people find worn, broken or discolored teeth unattractive, and many of those affected opt for cosmetic dental reconstruction using crowns or ceramic veneers, for example. However, any change to the front teeth can also have a major effect on a person’s facial expressions. To allow patients to see how their new smile will look, it is common practice nowadays to first make a plaster cast of the patient’s dentition. The dental technician then uses wax to insert any missing teeth and creates a 3D model which the patient can try out a complicated and time-consuming procedure. So, some applications using augmented reality to help dentists with their hard work and motivates their patients to see their new smile in live video by detecting the patient’s mouth and replace the nature teeth with the augmented teeth.
Simple System for Smart kitchen leftovers recipes
(October University for Modern Sciences and Arts, 2020) Farouk, Nadeen Mostafa
It is natural to assume that couples working at a company or those living alone want to cook food as easily and conveniently as possible when they are busy. However, in order to keep getting the same food they can cook easily, a range of food should be oﬀered that they can cook ”easily.” There are several blogs and researches that evoke advice for cooking recipes. Such websites also present cooking recipes based on the date of entry, access duration, or user reviews of the recipe. We don’t mirror personal tastes of the user. We also suggested a method of suggesting a recipe, based on the food preferences of the consumer. To derive food preferences from user.
Blood Donation Management mobile Application
(MSA university Faculty of Computer Science, 2020) Bassem, Ahmed
This program seeks to create a management framework for blood banks, which tries to build a strong link among the two groups of people who donate blood and blood type, and insurance without a disease, and the accepter, who need blood to use the blood. The purpose of the application is to create a blood bank network. And to provide a good analysis of accurate statistics for blood transformation in Egypt to increase number of donors to meet the need of the state of blood. This system helps to manage records that are saved in the stored database of the donor requests for the application, provides a good system of Blood Bank management to enable quick access to the collected data or information, enables good contacts by location identification and telephone numbers.
Chest Diseases Detection Using Convolutional Neural Networks
(MSA university Faculty of Computer Science, 2020) Amr Attia Ewais, Abdelrahman
X-ray pictures are utilized in medication to photo the inner structure of the human body such as bones, skulls, teeth, and chest …etc. [1]. Today, we are facing huge chest diseases that may affect the body and lead to the death of humans. Chest diseases are a very popular and dangerous problem. And it is a very earnest health problem so we must be stricter about diseases of that type because it may lead to death [12]. So it very important to save time in chest cases because time is very important do chest patient may feel he/she cannot take a breath so doctors need to diagnose the patient’s case to control the disease as fast as can. Nowadays a lot of researches has been working how to detect chest diseases by AI methodologies that is help in a lot of different fields [1]. As you can see below that using also X-ray images to applying CNN algorithms that make to detect diseases so x-ray has a very important role in detect diseases generally. Now can detect diseases by the power of computation resources. And now they reach software that takes a photo to x-ray and then applying an algorithm on this picture to detect disease
The virtual aid in cars maintenance
(MSA university Faculty of Computer Science, 2020) abdelnasser, Abdelrahman
Augmented reality is one of the most useful technologies today because it helps in many things. Like fixing devices or cars, treatments like measurement of eye strength. Also, deep learning is useful today because it allows us to build a big and many models to like classification between objects or regression. This project will help cars owners in fixing their cars by making their smart phones’ camera point towards the object that has the issue, after that the object will appear at 3d form after it has been detected by the deep learning system, then it shown the instruction to help users in maintenance process.
Road Anomality : An economic vehicle assistance for road bad conditions discovery
(October University for Modern Sciences and Arts, 2020) Ramadan, Motaz
The main idea of this project is to study how to maintain the fastest route with least fuel consumption by taking roads with least number of pumps and potholes.
Traffic Sign Detection And Classification
(MSA university Faculty of Computer Science, 2020) Michelle Hanna, Abanoub
The goal of this project is to build, modify, and make improvements in part of autonomous cars brain design to obtain stable ad safe drive by detecting the traffic signs that is very important topic in driving and in autonomous cars. The project used convolutional neural network techniques that help us in solving our problem of classifying and localization. The aim of this project was to build an application with high accuracy and reliable with helping of the deep learning tools to get a high speed for test and taking the decision.
Augmented reality for shooting clay target
(October University for Modern Sciences and Arts, 2020) Mahmoud, Abdelrahman Mohamed Mohamed
The main idea of this project is to help the beginners and intermediate players to improve levels of shooting by detecting and tracking target and nozzle of shotgun then by detecting target and nozzle of shotgun i can identify the location of target and shotgun then calculating distance between nozzle of shotgun and target to take a suitable decision to launch the bullet and break the target at a real-time and reduce ﬁnancial losses to shooting clubs because it reduce wasting bullets and targets.
Car plates detection and recognition
(MSA university Faculty of Computer Science, 2020) Magdy Mohamed, Mohamed
License plate recognition (LPR) has been A dilemma as it causes traffic jam and hard for employees to recognize due to high car numbers. The idea of this model is to notice high violation without affecting traffic or be a dilemma on employees to find the car as the project recognizes violated car’s model-color and name, which compared it to the governmental information which will be a revolution in maintain traffic in the world.
Smart Survivor Character In 3D Environment
(October University for Modern Sciences and Arts, 2020) Tolba, Nour El Deen Khaled Mahmoud
There are many approaches to use when it comes to 3D character’s navigation. As for humans, the brain can act as a sensor to guide the person to move and explore environments. But in computer wise there are some search problems to help a 3D character explore and navigate a terrain. In this research, the method of using neural network mixed with genetic algorithm is applied to solve these problems. The neural network works on producing outputs and the genetic algorithm is responsible for enhancing the results. The results of the algorithms were veriﬁed with multiple environments.
Semantically Analyzing text for analogy generation
(MSA university Faculty of Computer Science, 2020) Abd Elmonem Mohamed, Hesham
As information regarding everything in our life is increasing at a massive rate, from biological and neurosciences to psychology, sociology, developmental and learning sciences, engineering and the list goes on. people are having a difficult time comprehending that huge amount of knowledge, not to mention, linking them together.[1] Analogies are very important in cognitive processes such as learning and comprehending new concepts or topics, it transfers our learning experience from a certain subject to a brand new one. [5] This project aims to solve this problem by semantically analyzing these ambiguous concepts to give us Frame semantics representation, and mapping the result to a similar frame semantic representation that would hopefully turn out to have a similar meaning.
Building-Block using Genetic Algorithm
(October University for Modern Sciences and Arts, 2020) Ezzat, Mustafa Ihab
3D modeling using blocks have a lot of potentials as an interaction method that can enrich the interaction between designers or young people and modeling. This system uses one of the world’s most widespread toys around the world to make it easier and fun for modeling in 3D structures and widen the imagination and creativity of users since the lack of easy 3D modeling software. The system create a knowledge to be able to develop a creative and complex well-structured models represented using genetic algorithm that uses randomizing techniques similar to the biological process to enhance the results.
Mobile App for Online shopping
(October University for Modern Sciences and Arts, 2020) Adel, Radwa
Fashion is important for every person in the world. Fashion expresses everyone. This application will be different from any other application as it is designed specifically for fashion. It expresses his/her type and style to avoid anything that wastes time and money to the client in order to get what is necessary for her/him. It depends on viewed and ordered items to make a recommendation based on collaborative filtering express different styles. Also, it will recommend depending on BMI and visually similar items which shows same items with different materials, brands and colors. It shows the honest review so it will be trust worthy for the client so, it will make clients more satisfied buying from it.
MSA Clinic Hybrid Application for student Rescue
(October University for Modern Sciences and Arts, 2020) Harb, Omar Ahmed
This application will help the doctor and his / her stuff in helping patients (students or staff who has health issues) in the MSA University. The application let the students send help message request with category of the health issue (high pressure, bleeding, CPR, etc.…..) to the university clinic doctor with the location of the patient (building Letter and room number) which helps the doctor to respond to the request quickly. If the student move or taken by their friends to anywhere the location will change with the mobile that sent the request it also help the doctor in many things in his job. The system will predict the upcoming health issues according to the history cases of the patients so that the university clinic can prepare themselves to help the students or the university staff. The clinic doctor can open history for the patients and write notes about their health status, so that they can monitor them for future problems and can send them notification for their medication or some advice when they face any health issue at any time in the university. The mobile application contains a chatting system, to help the communication between the patient and the clinic doctor. So that it eases the description of the case in circumstances like a patient need an advice about how to deal with a high or low blood pressure or with situation that do not need the doctor to go to the case quickly and the patient can handle the situation
Voice to Sign Language Translation Using Speech Recognition
(October University for Modern Sciences and Arts, 2020) Mahmoud, Mostafa Mohamed
Sign Languages are used by deaf people as they way the communicate. Unlike sound language, sing language is a visual language. Which it uses combination of arms and facial expression and hands movement to express they want to say. Sign language used by the deaf people who born deaf which has disability to speak or by people can hear but cannot speak or by normal people who wants to communicate with disabled people. So, for a deaf person it is very important to have access to a sign language for their emotional, linguistic growth and social. This project aims to fill the gap between disabled people and normal people or make the disabled to live their live easy, by using deep learning and natural language processing techniques. The main purpose of the project is to bult a system that take the input in form of sound wave (audio) then converting it to sign language. This achieved by using 2 phases. The first is speech recognition which take the audio file and extract the MFCC features and pass it to trained model that used Dilated Convolution network to pass it to CTC Loss to predict the input and convert it to text. Second phase is applying the Semantics of Natural Language Processing (Tokenize and porter stemmer) for making the input is suitable for American sign language grammar which pass to database contains videos of each sign then merge the input into one output video.

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