Theses - Undergraduate

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    Open Access
    AI Based Recommendation System
    (North South University, 2021) Mohammad Fazle Elahi; Afia Fariha; Mainul Islam Rajon; Md. Ainul Haque; Shahnewaz Siddique; 1621107642; 1712393042; 1631242642; 1320422042
    In this report, we have represented a design of a recommendation system that will use different types of algorithms to recommend a teacher to a student. Our recommendation engine is going to take some data set from online or our own database and it will shuffle the data and suggest a student to his/her recomdent teacher. In this way a student can find a suitable teacher according to his choice. The recommendation system will use different types of algorithm that we are going to discuss in our upcoming chapters. Those algorithms will help us to shuffling the data or managing the data in different platform. The data set we are going to use are from given output or we collected them from online. based on the data set people will rate some teachers and by using the rating the student can find their suitable teacher. Our algorithm will work dynamically. That means anytime a user input his or her profile or anytime a student give rating to a teacher it will update our data set manually. We don't need to update our data set by our own.So in this way we can find a user friendly application that will respond within some second. A teacher and A student who r going to use our application they have to agree some terms and conditions so that we can verify our real and best teachers.Our application will also show the teacher and student profile according to a region.So that a teacher and a student don't need to go outside their region for any tuition purpose. Thats why the time management will be easier and a student and a teacher can easily find a teacher/student within their region. So, we have developed our application in that way so our application can become a very user friendly and the market rate will be higher in this application.
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    Open Access
    Emergency Ambulance Calling
    (North South University, 2021) Md. Abdullah-Al-Mamun; Md. Ariful Islam; Tarana Kabir; Mir Nusrat Mahim; Shahnewaz Siddique; 1410964642; 1612763042; 1620404042; 1511514642
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    Open Access
    Android Health monitoring App MEDCHCK
    (North South University, 2020) Nusrat Zahan Nipu; Jannatul Hur; Md.Rasel; Saima Jannat Mim; Shazzad Hosain; 1520231042; 1311501043; 1513161042; 1520308042
    This report explores the development of mobile healthcare application and big data analytics of market research. In addition to embracing cloud computing in healthcare, the inspiration and advancement of mobile application related healthcare technologies systems and market research are discussed. This defines health condition that can be very helpful for any aged people most important women and old age people become more benefited from this healthcare applications. Mobile healthcare methods, tools and applications are reviewed here.
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    Open Access
    Building COVID Knowledge Base from Medical Journals
    (North South University, 2021) Md. Jubaer Khan; Walidul Alam Ehab; Mohammad Ashrafuzzaman Khan; 1721616042; 1631214042
    Natural Language Processing (NLP), a subfield of linguistics, computer science and artificial intelligence, is concerned with the interactions between computers and human language, particularly with how computers are programmed to process and interpret large quantities of natural language data. In the covid pandemic, many research articles are being published every day, and scientists and doctors are trying to figure out the cure for saving humanity. Unfortunately, it is pretty hard to keep updated with all of the research that is being published. Our approach is to extract essential information from the research articles and find a relation between the disease and its symptoms using the Word2vec model. We have preprocessed a large number of journal article’s abstracts and train them into Word2vec model in our work. After getting the words vectorial representation, we have visualized the data for finding significant relationships among the disease and their symptoms-related words.
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    Talk to Yourself - Web and Android mobile app
    (North South University, 2021) Saiful Islam; Md. Monir Hossain; Mehedi Hassan; Mahdy Rahman Chowdhury; 1620203042; 1620696042; 1620397042
    This report presents the design and the implementation of an online and offline doctors’ information and service providing system. It can be categorized as a web-based and mobile-app based information storing and managing system designed for people who want to get touch of doctor’s for improving their mental health. It uses a very efficient way to find a psychiatrist for their own or family member support. The data are stored properly, which will help the user to find his/her desired doctor easily. By using the system anyone can easily know his desired doctor’s information like doctor’s degrees, department, specialty, designation, chamber address, contact number, visiting hour, and fee. The system has been designed in such a manner that takes care of all the needs of a typical people who'd like to visit a doctor and it is capable of providing an easy and effective way to find doctors for any background people.