Browsing by Author "Mohammad Monirujjaman Khan"

Now showing 1 - 7 of 7
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    Open Access
    A Web and Mobile Application Based Smart Online Health Care System
    (North South University, 2019) Md TalatMahmud; Md Shahrear Bin Satter; Md Samiul Basir Rabbi; Mohammad Monirujjaman Khan; 1511653042; 1210128042; 1511703042
    This report presents the design and the implementation of a web and mobile application based system where people can connect with a doctor by video calling those who are in online and patients can be prescribed. Besides that people can also store their all medical information through this system. User of this system will also get notification when they need to take medicine. We have developed a web based system and a mobile application named “Online Health Care”. User of this system expresses the strong desire to own an online web and mobile application which is used for their self-management and directly getting advice from the doctor
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    Open Access
    Design and Investigation of Energy Harvesting System from Noise.
    (North South University, 2021) Junayed Hossain; Nazmus Sadad Ovi; Mohammad Monirujjaman Khan; 1612680643; 1331388043
    Human activity and various activities are needed to live in today's world, and all of these activities create different types of sound. A noise is a noisy or irritating sound that causes disruption, such as street traffic noises, construction sounds, airports, and so on. This paper looks at a less well-known renewable energy source. Using a suitable transducer, noise (sound) energy can be transformed into a viable source of electric power. This can be accomplished by using a transducer to transform noise-induced vibrations into electrical energy. Reducing the strain on the main power grid and reducing fossil fuel imports. A speaker and a transformer are used to convert noise generated by car horns and other noise sources into electrical energy in a proposed application. The theory of electromagnetic induction can be used to transform noise vibrations into electrical energy. A transformer was used to boost the received signal from 0.7 to 2 volts.
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    Open Access
    KenaBecha: An E-Commerce Website And Mobile Application For Buyers And Sellers
    (North South University, 2018) Irtiza Nahian Faiza Sanha; Md.Shah Alam Chowdhury; Shamanna Ferdous Haque; Mohammad Monirujjaman Khan; 1520448042; 1430501042; 1410904042
    With growing use of internet, people are now able to reach out to the world as fast and as efficiently ever. In this project, an interactive multimedia is developed where sellers from rural areas will be able to contact with the buyers all around the country directly. The system will be accessible via internet and available to the target population through computers or laptops and even smart phones very easily. The project includes content designing, web portal development and application development. We hope that the project will make lives easier for the targeted population. The buyers and sellers will be able to view the products online. This would eliminate any middlemen among them and make it much easier for users in terms of usability
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    Open Access
    Product Recommendation System by Analyzing Customer Reviews and implementation using Django Based E-commerce website
    (North South University, 2021) KAYSER AHMED; SUMIAYA KHAN; MD. AMZAD HOSSEN; Mohammad Monirujjaman Khan; 1620252042; 1711879642; 1620396642
    This report presents a recommendation system and its implementation on a real time Ecommerce website. This will help the customer to discover new products that would please a customer, recommend products by monitoring customers activity like searching of products, along with the previous set of things a user enjoyed and also find a selection of products that would be enjoyed by a community of people. The biggest secret of achieving success in business is to provide better quality customer services that ensures customer satisfaction. A statistic shows that about 70% of purchase decisions are taken relying on how consumers believe, they are being served. Online shopping is on trend now a days where customer buys things or services without any middle way. However, to give customer satisfaction and earn more revenue, number of advertising ways are introduced. One of which is intelligently recommendation services or products. A product recommender system is a software that detects the consumer’s behaviour on e-commerce sites and on the basis of that, suggests products that meets interest of consumers. This paper presents the design and implementation of a recommendation system on Ecommerce which will suggest the consumer with their relevant and desired products and make their online shopping more comfortable. For implementing this system using machine learning, three algorithms (Model Based Collaborative Filtering, Popularity Based Filtering, K means) are used. The system is designed in such a way that focused on a fresh customer's first visit on the company's website to when they perform repeat purchases. The system will be proved as user friendly and will effectively predict which products customers would like the most. The accuracy in matrix factorization using SVD is 97.7 percent and with KNN using item similarity is 84.56 percent.
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    Open Access
    Smart Detection of Deepfake Using Various Deep Learning Models
    (North South University, 2023) Mariam Binte Bashir; Iftekher Mahbub Rafi; Mohammad Monirujjaman Khan; 2021874042; 2021463642
    Deepfake is a digitally manipulated image or video that is generated using an algorithm to replace the original person with someone else which looks authentic. The need to create efficient techniques for identifying and categorizing counterfeit photos on digital platforms has become crucial due to their widespread presence. This project does the prediction of counterfeit photos by employing of deep learning (DL) and transfer learning methodologies, specifically leveraging convolutional neural networks (CNNs) models. Our work focuses to enhance the accuracy and reliably detecting deep fake images. The DL models have been trained using the dataset acquired from Kaggle, titled "140k Real and Fake Images". Transfer learning techniques are employed to enhance prediction performance by leveraging knowledge from large datasets and applying it to pre-trained models. Evaluation criteria such as accuracy, precision, recall, and F1 score are employed to assess the ability of a model to effectively distinguish between genuine and manipulated images. The models exhibit strong discriminatory capabilities and provide reliable picture classifications. The study investigates the efficacy of various deep-learning models in the task of image classification. The Vgg16 achieved a peak accuracy of 99%, showcasing the possibilities of deep learning algorithms. MobileNetV3s and DenseNet121 demonstrate their efficacy in faulty image categorization by achieving accuracies of 98%, 94%, and 95% correspondingly. Unlike other models, Xception achieves remarkable accuracy rates of 96% through training on a wide range of datasets containing both genuine and manipulated images. This enables it to effectively differentiate between real image and deepfakes, which we deployed to build a website. Thus, our experiment demonstrates the versatility of deep learning models in handling various image formats.
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    Open Access
    Travel Buddy Finder
    (North South University, 2019) Md.Farhan bin shafiq; Md.Shamsuzzaman; Md.Imam hossain; Mohammad Monirujjaman Khan; 1411464042; 0930037042; 1410242042
    In this project, we develop and design an online-based application. Travel Buddy is a FREE social networking app that helps you find travel buddies and partners for your backpacking or holiday plans. We developed this application to automate a travel agency. This client-server-based app will serve all the agents of a travel agency and record all the information of a passenger. The agency can discover all the money transactions and passenger services from remote places through this platform. This social networking app also supplies necessary reports. In this project, there is a login page for each travel agency employee. The admin user can define roles for all users with respect to their user type. That means the admin can authenticate which kind of user can see or perform operations on which pages. This online-based app is device-independent.
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    Open Access
    Zero-Code Advergame Platform
    (North South University, 2023) Ahnaf Rahat; Nusrat Jahan Riya; Nishat Maharin Bushra; Mohammad Monirujjaman Khan; 1912685042; 1912490642; 1912903642
    The Zero-Code Advergame Platform is a web application where we can automatically develop fully functional advergames. This project’s specialty is that users do not require any prior programming knowledge. We have completed all the core functionalities of a web application. Currently, we have an efficient front-end interface, the essential APIs, an integrated database, a user authentication system, and exceptional features, and among them, “Game Builder” is the most significant one. To build this, we have used Django and JavaScript. We have used the Model-View-ViewModel (MVVM) to promote a transparent separation of concerns, reduce dependencies among components, and enable a more modular and testable application, ultimately leading to a smoother and more efficient development process. We have connected the backend with the front end through API endpoints. APIs provide a systemized way for different software tools to interact with each other, defining regulations to follow while exchanging data. Now, end users can register and access the website securely, and all the listed games are visible and playable. This platform is built specifically for consumers who prefer a hassle-free development environment. To meet this target, we have used React JS and JavaScript to make the user experience easier. In a web application, we must have the flexibility to add new features, and that’s why we have used the Django Rest framework to build this platform. A fully working, sustainable platform with the motto of helping users get the best-developed advertising. It will create enthusiasm for consumers to try this new strategy on their entrepreneurial journey. The Zero-Code Advergame Platform will bring countless benefits and great impacts to their journey without getting ripped off.