Faculty of Science and Information Technology: Recent submissions

  • An E-commerce Platform With Smart Features 
    Jayead, Md.Towfique Hasan (Daffodil International University, 2025-01-11)
    The Multi-Vendor E-Commerce Platform is a comprehensive web application intended to deliver an integrated solution for buyers, merchants, and administrators, facilitating a seamless and scalable online marketplace. This ...
  • Deep Learning-Based Video Steganography Using DCT to Improve Imperceptibility 
    Swity, Nasrin Akter (Daffodil International University, 2025-01-18)
    Steganography is an important part of modern digital contact because people need safer ways to hide data that can't be found. The Discrete Cosine Transform (DCT) is used in this study's deep learning-based video steganography ...
  • YOUR SHOP E-Commerce (Web Based) 
    Moyan, Kazi Mahumudur Rahaman (Daffodil International University, 2025-01-18)
    The “YOUR SHOP E-Commerce Website” project aims to establish a robust online platform for facilitating seamless buying and selling experiences. The platform is designed to cater to a diverse range of products, providing ...
  • Factors influencing Facebook Reel Usage behaviour 
    Chowdhury, Tasnia Sunehara (Daffodil International University, 2025-01-18)
    With the rise of short-form video platforms such as Facebook, the Social Media Usage paradigm has shifted to maximize engagement through short-form, algorithmic-ally driven content. This study explores the motivation for ...
  • ThinkTravel 
    Diba, Musfika Khan (Daffodil International University, 2025-01-18)
    The travel and tourism sector plays a pivotal role in global economies, yet it isriddled with challenges such as inefficient booking processes, lack of localizedsolutions, and inadequate administrative tools. Think Travel, ...
  • Leveraging Ensemble Learning Techniques for Enhanced Cybersecurity Threat Detection 
    Bithi, Jakiah Firooz (Daffodil International University, 2025-01-18)
    The rapid evolution of cyber threats has forced the development of modern intrusion detection systems (IDS) capable of identifying and combating sophisticated attacks. Traditional IDS techniques often fail to adapt to ...
  • A News Site for media publication 
    Arnob, Rafrafin Chowdhury (Daffodil International University, 2025-01-18)
    In order to provide real-time news and multimedia material in a variety of areas, such as politics, technology, sports, entertainment, and more, the News Site Project seeks to create a cutting-edge and intuitive online ...
  • Static Website Builder (CMS) 
    Saharukkarim, Md. (Daffodil International University, 2025-01-18)
    The concept behind the Static Website Builder project is to offer a platform where people as well as companies can build, design, and deploy easy static websites with no coding knowledge at all. Predefined functionality ...
  • Face ATT: A face recognition attendance system 
    Vikki, Shadab Pervaz (Daffodil International University, 2025-01-18)
    With the advancement of modern technologies areas related to robotics and computer vision, real time image processing has become a major technology under consideration. So here a try has been made for a novel approach for ...
  • Impact of HRIS in Organization 
    Shadhin, Hasanul Banna (Daffodil International University, 2025-01-18)
    In the present era of technological revolution, the employment scene has transformed, and innovative approaches have rendered existing systems exceedingly successful. The majority of companies are increasingly recognizing ...
  • Enhanced Potato Leaf Disease Detection Using Deep Learning 
    Abdullah, Abdullah (Daffodil International University, 2025-01-18)
    Potato crops are essential to global food security but are highly susceptible to leaf diseases such as early blight or late blight, which negatively impact yield and quality. Conventional detection approaches are time-consuming ...
  • Deep Learning for Equitable Dermatological Diagnosis: Enhansing Healthcare Accessibility 
    Naser, Md. Abu (Daffodil International University, 2025-01-13)
    Our research presents an innovative deep learning approach designed to enhance dermatologic diagnosis by addressing the significant challenges of subtle color variations and complex lesion morphology. Accurate diagnosis ...
  • Lung Cancer Detection using Deep Learning with Hybrid Preprocessing Pipeline 
    Naziullah, Shekh; Mosfiq, M.Mukit (Daffodil International University, 2025-01-12)
    Lung cancer remains one of the leading causes of death globally, with millions of lives lost each year. It is one of the most prevalent non-communicable diseases, responsible for approximately 6% of all deaths. Symptoms ...
  • Research Track: A Tailored Web Solution for Project Management in Health Information Labs 
    Hasan, Md. Imran (Daffodil International University, 2024-07-01)
    The ResearchTrack: A Tailored Web Solution for Project Management in Health Information Labs is a web application designed to optimize lab operations through effective task management and progress tracking, supporting three ...
  • Cash-Fly: A Web Based Income Expense Tracker 
    Basar, Khairul (Daffodil International University, 2025-05-14)
    Cash-Fly Cash-Fly is an online personal finance application and serves as an expensetracking tool. Built on the MERN stack (MongoDB, Express. js, React. js, Node. js), providing a secure way of logging, tracking income ...
  • Daffodil Area Service (DAS): A Flutter Android App Development Project for Daffodil International University 
    Abir, Sadnan Sakib (Daffodil International University, 2025-01-13)
    The Daffodil Area Service (DAS) app is a mobile application designed to enhance the experience of students, faculty, and staff at Daffodil International University (DIU). Developed using the Flutter framework for Android, ...
  • Distinguishing between AI-generated and Human-written Content in the Modern Digital Landscape using Deep Learning 
    Emu, Md. Atiq Morshed (Daffodil International University, 2025-01-13)
    This study focuses on the growing difficulty of recognizing text that produced by machines in a time when artificial intelligence is extensively used. The study proposes a novel method based on a Long Short-Term Memory ...
  • A Framework for Human Skin Disease Classification Using Convolutional Neural Network 
    Hera, Mst. Dilruba Yeasmin (Daffodil International University, 2025-01-20)
    One of the most dangerous types of cancer is skin cancer, it becomes a significant health hazard when not treated and detected on time. Skin cancer may spread to other parts of the body and complicate treatment if it is ...
  • Transit Track A Cpmprehensive University Bus Tracking and Transport Card Management System 
    Faisal, Saimon Islam (Daffodil International University, 2025-01-13)
    The increasing demand for efficient and reliable public transportation has necessitated innovative solutions to improve user experience and operational transparency. This report presents TransitTrack, a mobile application ...
  • Fashion Freak - A Web Application 
    Unknown author (Daffodil International University, 2025-01-18)
    Fashion Freak is the new E-commerce solution for addressing the fast-growing fashion market with our particular focus on the customers from the Bangladesh market. I design the backend using Laravel, database as MySQL, along ...

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