In recent years, the recommendation system has been used extensively in many fields such as Amazon, YouTube, Netflix, and others. Therefore, this project suggests using recommendation engines in banks and financial services to solve the problem of many people who do not know how to manage their income. This project uses recommendation technologies with input data as last month’s bank statement to get recommendations as to what one’s overspending on (as opposed to other users). The goal of this project is to help these people managing their income based on knowing the customer’s behavior and providing appropriate recommendations to each customer and suggests highly and efficient results to save their money.
15/05/2020
The revolution of technology and the rapid evolution of the digital world had a significant effect on the development and expansion of e-commerce. Delivery service is one of the support- ing services of e-commerce. One of the issues regarding this service is that many customers suffer from the difficulty in communicating and coordinating with logistics companies which are responsible for the delivery service. This project introduces a system that facilitates the com- munication and coordination between customers and logistics companies by using one identity and one interface. Therefore, increasing the level of customer satisfaction and reducing delivery failure rates which will eventually increase the prosperity of e-commerce.
15/04/2020
There are a lot of newborn babies who were diagnosed with cancer at disease early stage of age and has been fighting cancer for more than 10 years. Childhood cancer can make children and families feel like they are all alone, especially when low immunity means isolation to stay safe from life-threatening microbes, germs, and viruses, we should help and support kids by raising awareness by establishing a website to support and help children with cancer. often it is a lonely battle fought isolated in hospital rooms or confined to staying at home for days, months, even years at a time. Help them to feel they are not alone. The childhood cancer help system is dedicated to helping, treating, and educating children suffering from Childhood cancer. CCHS is dedicated to helping, treating, and educating children suffering from Childhood cancer using the website for managing various activities. This website helps the user to know all details such as donors, their needs, events, etc; can be viewed by the visitors after login. all information and details about children are stored in the tables, and If a user would like to join a new child to the organization, then they can fill their corresponding form online. a person who wants to help and provide them from anywhere they can pay online to the institution.
14/04/2020
Smartphones are becoming play a significant role in our day to day life. Nowadays smart- phones can solve most of the problem very quickly and easily. In our project, smartphones will help develop the way students current attendance, to speed up the process of taking student attendance would save lecturing time. In this project, we proposes a system that is based on a QR code, which is being displayed for students during of each lecture. Students then need to scan the code to confirm their presence. The student attendance reports will be generated in CSV and XLS sheet for further use. We will discusses how the system verifies student identity to eliminate false registration.
15/03/2020
Over the recent years, there has been an immense attraction towards age detection due to its raised implementation in various sectors. Such as government regulations and rules, security control, and human computer interaction. Popular human features such as the face and fingerprints can be modified or changed with time. However, ear has a stable structure that does not change with time and have unique features that satisfies the requirements of a biometric trait. This research presents a detailed analysis extracting the features of the human ear only by applying Deep Learning techniques. In particular, Convolutional Neural Network (CNN) is applied on large datasets which have multiple layers to extract the features and classify them. The proposed methodology increased the number of the dataset by collecting more private children datasets, and consequently achieved high accuracy by 98.75% along with amending the architecture of the selected neural network compared to previous studies. This research can be benefited to control the contents of social media by detecting the age of group whether it is under 18 or above 18.
15/03/2020
Heart disease could be a leading reason behind premature death within the world.Predicting the end result of malady is that the difficult task.Machine Learning is concerned to mechani- cally infer diagnostic rules and facilitate specialists to create identification method additional reliable.Several data processing techniques are utilized by researchers to assist health care pro- fessionals to predict the heart disease.Random forest is most accurate learning algorithmic rule,suitable for medical applications. .In our project ,we propose a machine learning prediction model that uses random forest algorithmic rule as feature choice measures to predict cardiopa- thy. The experimental results have shown that our approach improve accuracy compared to different approaches.
15/03/2020
The blind people and the visually impaired are part of this community and they have to live a normal life and adapt to this community. We, as Information Technology students, find the responsibility to serve them. We search in must of the systems that build for blind people most of them are for guiding or for detecting objects around by specific devices for example a stick or a glasses it is consider more expensive and not available for all blind people. They need a service that available for them any time and any where and become free for them. We found that the detecting and recognize text’s by blind’s is one of the most difficult tasks that they perform because they are unable to identify text or read what is its, and there almost no any systems specified for blind people that provide a service to read text in Arabic for them, therefore they often have to accompany a person helps them to read for them or asking people around. We propose developing an application that helps the blind and visually impaired to read texts anytime and anywhere. We will be develop an app by the Android Studio platform in Java programming language along with Python programming language connected to use them together by Chaquopy tool. This application will perform two main tasks. First, it will recognize Arabic and English texts with OCR through the camera, when the image contain Arabic text the android studio will not recognize any thing because Arabic languages not support into it, so what will happen is the android app will use the Python code by the Chaquopy which is the easiest way to use Python in Android app, so the same image will be used in Python and by ArabicOcr library the image will be analysed to produce a file text contain the text recognized from the image then it send the file back to android app. and for the image with English texts there is English text detection provided in android studio by vision library which is from Google, the English text’s can be in various styles and sizes. Second in the app it will take the text recognized either from Arabic or English and convert it to clearly voice by using TextToSpeech library in Android Studio. So as we say it will be developed through the Android Studio platform in Java programming language along Python programming language connected together by Chaquopy tool, The main target of this application is that will be easy to use and without complications.
20/02/2020
Nowadays, technology has managed to invade the lives of individuals in all its fields, as the use of technology in education has become one of the most widespread and beneficial things ever, as it allowed individuals a great scientific development, especially when incorporated in tracking students’ attendance in educational institutions. It is extremely important to move students to advanced and more advanced levels of education than ever before, and it stimulates the creation of a distinctive learning environment by possessing unique digital tools. Tracking systems play important roles in tracking moving objects in various fields to avoid many problems that may occur. In some cases, students run away from educational institutions during school hours. Therefore, a system can be developed to track students effectively. Where automatic identification procedures are spread in many sectors such as industries, services, procurement, distribution and safety systems. This technology is used to provide sufficient and continuous information about industrial products or the identity of people. This study aims to build a technology-based (RFID) system to track student attendance in educational institutions. The system is built in three main phases. In the first stage, data was collected and analyzed from previous studies. In the next stage, the database is designed and the application and system graphic interfaces (RFID) are designed. In the final stage, the database and devices were imple- mented and programmed in addition to the application’s graphical interfaces as well as system validation in key cases. Through this system, parents can easily inquire about their children’s entry and exit times from the educational institution. It also reduces the burden on educational institutions when parents inquire about their children.
15/01/2020
Nowadays, many people prefer to purchase through online websites. Usually, those people start with reading user reviews and comments before making a purchase decision. The user reviews are considered powerful sources of information about products, in which users share opinions and previous experiences on using these products. However, these reviews are mostly textual and uncategorized. Thus, new customers need to read a massive amount of reviews, one by one, in order to make a decision. In specific, there is a research gap text analysis i.e. LDA in unsupervised learning produce inaccurate results. This project attempts to bridge this gap and combine two approaches of topic modeling which are unsupervised and supervised learning, i.e., semi-supervised learning, for classifying the reviews to enhance text analysis. In addition, it makes classification based on sentiment analysis and visualize the reviews as a dashboard.
15/01/2020
Nowadays, air pollution is getting an extreme problem that affects the whole environment. Due to the dangerous effects of air pollution on human’s health, this project proposes an air pollution prediction system. Because of the high dust pollution in Saudi Arabia, and the fact that there is no system for predicting the percentage of air pollution in it, hence, this project will apply air pollution prediction system on the most affected area in Saudi Arabia. This project aims to align with the Saudi vision 2030 by having an ideal environment and act in an efficient way in case of a warning situation. It applies deep learning technique which called long short term memory LSTM to predict the air pollution in Saudi Arabia.
15/01/2020
Location based services (LBS) are services offered through a mobile phone application take into account the device’s geographical location. Because LBS are largely dependent on the mobile user’s location, the primary objective of the service provider’s system is to determine where the user is and what are the available services and locations around the current location. This project needs hardware (mobiles and beacons, software and digital maps) as well. The aim of this project is to produce a system that can help in identifying what are the services that are located around the current location in addition to some other important information such as the business hours and the type of products and services offered. Qassim university campus will be used to implement the system that can help us know the services that provided inside the campus.
15/11/2019
Parents and students mobile application built for creating a communication network to link between the parent and teacher, and because the system is an online system not only a computerized system, users can access their profiles at any time anywhere, a be used for both Parent and students every day. This mobile application system serves the users and divided according to their functionality and their roles. The administrator will be registered all the students and faculty in the college and parents. Students will be stored their profiles can be accessed and viewed online. Student can check his attendance, college events, and notifications. The application provides many services that will save users time and reduce the time and effort.
15/11/2019