Faculty of Science and Information Technology: Recent submissions

  • Predicting Entrepreneurial Intention Among Computer Science Students Using Structural Equation Modeling and Machine Learning 
    Sillah, Abu Bakarr (Daffodil International University, 2025-10-12)
    Entrepreneurial intention (EI) among students are critical drivers of innovation, job creation, and economic growth in contemporary societie. This study examines the determinants of entrepreneurial intention (EI) among ...
  • Attention-Based Sequence-to-Sequence Neural Machine Translation from English to Bangla 
    Borson, Prattoy Paul (Daffodil International University, 2025-10-09)
    Neural Machine Translation (NMT) has emerged as a dominant form of automatic languages, especially in the case of lower-resourced languages like Bengali. We developed an English-to-Bengali translation system utilizing the ...
  • Efficient and Interpretable Deep Learning for Mango Leaf Disease Detection Using Knowledge Distillation and XAI 
    Uddin, Nasir (Daffodil International University, 2025-09-13)
    Mango leaf diseases are a major cause of crop loss and can only be minimized through accurate and on-time disease identification. This paper proposes an effective and explainable deep learning model of mango leaf disease ...
  • Guided Learning with Reinforcement Learning for Bias Mitigation in LLMs 
    Shovon, Shazid Nawas (Daffodil International University, 2025-10-04)
    The introduction of large language models (LLMs) has led to global attention being focused on a few high-stakes ethical issues - not least among them would be that they amplify and spread social prejudices inevitably ...
  • ALSA-3: Customized CNN model through ablation study for Alzheimer's disease classification 
    Saha, Arpa (Daffodil International University, 2025-10-25)
    Alzheimer’s disease is a widespread neurological disorder which affects millions of people around the world and presents complex challenges for patients, families, and healthcare providers. A mix of non-pharmaceutical and ...
  • Machine Learning Approaches of Social Media Addiction Among Bangladeshi Students 
    Das, Shuvro (Daffodil International University, 2025-09-24)
    Using excessive use of social media can use many kinds of mental health issue. In my project work I was trying to build a machine learning project that can help students their social media addiction status. In my project ...
  • A False Sense Of Security: Enhancing Resilience Against Cyberattack Through An Improved Security Awareness Model 
    Mohsin, MD. (Daffodil International University, 2025-01-18)
    Cybersecurity has become a crucial concern in today‘s increasingly digital world, especially for students who rely on online platforms for education, communication, and personal activities. This thesis investigates the ...
  • Statistical Analysis of Post Covid Symptoms on Recovered Patients With ML 
    Zoynob, Bibi (Daffodil International University, 2025-01-18)
    As the COVID-19 pandemic elapses, too many attention is being given to long COVID: it is a set of symptoms that people experience after covid infection. Since it is so new, we are still learning about it. The more we ...
  • Online Order System App for Pharmaceiticals 
    Rahman, Sheikh Md. Mizanur (Daffodil International University, 2025-02-03)
    The rapid advancement of digital technology has significantly transformed the healthcare and pharmaceutical industries. This thesis presents the development of an "Online Order System App for Pharmaceuticals," specifically ...
  • MobViGNet: An Explainable AI-based Hybrid Transfer Learning Approach for Eye Disease Classification from External Eye Images 
    Bitto, Abu Kowshir (Daffodil International University, 2025-05-18)
    The application of artificial intelligence (AI) in medical diagnostics, particularly in ophthalmology, holds great promise for enhancing early detection and improving patient outcomes. However, the complexity of diagnosing ...
  • Phishing Detection Using Rule-Based Approaches: Email and URL Filtering Techniques 
    Bhuyain, Md. Arnob (Daffodil International University, 2025-08-11)
    Phishing, a well-known name in the field of cybersecurity. It is one of the most dangerous cyber- attacks in recent it or online. Phishing can be done using various techniques. Almost every few days, there are new techniques ...
  • DeepQSP: Identification of Quorum Sensing Peptides Through Neural Network Model 
    Rahman, Md. Ashikur (Daffodil International University, 2025-08-08)
    The motivation for this study, DeepQSP: Identification of Quorum Sensing Peptides Through a Neural Network Model, was simply my curiosity and desire for gaining knowledge and learning more about this area. First of all, I ...
  • E-Commerce Application 
    Bhuiyan, Md. Taneemul Hasan (Daffodil International University, 2025-08-09)
    This thesis introduces a full-featured e-commerce application with an in-house built authentication and role-based access control (RBAC) system. The system is designed to work with the shortcomings of native Django ...
  • Statistical Approach to Forex Market Analysis 
    Abdi, Mohamed Dirir (Daffodil International University, 2025-08-11)
    A Forex indicator that's driven by stats helps traders make calls based on proven patterns, not just guesswork. What makes it different from generic tools is that it builds a custom model for each currency pair. It understands ...
  • HireHunt 
    Rita, Nusrat Jahan (Daffodil International University, 2025-08-10)
    Rapid development of technology has changed the way individuals search for jobs and the way they can be accessed by their potential employers. Conventional means for finding jobs involve long procedures with minimal ...
  • Betel Leaf Disease Detection Using Machine Learning 
    Akter, Roksana (Daffodil International University, 2025-09-17)
    This report discusses the design, development, and evaluation of a Betel Leaf Disease Detection System that aims to utilize machine learning and mobile technology to enhance agricultural practices. The main goal of the ...
  • HealthQ – AI Powered Healthcare Platform for Appointments & Disease Detection 
    Rahman, Waresur; Mumu, Mahmuda Akter (Daffodil International University, 2025-09-16)
    Healthcare systems spend most of the time struggling with inappropriate appointment scheduling, extensive queues, constrained physician-patient communication process, and insufficient diagnostic equipment at early stages. ...
  • Fake News Detection: Performance Analysis of RNNs and Transformer 
    Akter, Suchana (Daffodil International University, 2025-09-17)
    Cultural & linguistic challenges. The rise of fake news spreading like wildfire across digital platforms, particularly at the low-resource level in languages such as Bangla, where fact-checking tools are scarce, has become ...
  • Impact of Ransomware on IoT Network Security: Analysis and Defense Mechanisms 
    Rahman, Md. Ridwan; Chowdhury, Hemanta Roy (Daffodil International University, 2025-09-17)
    The sudden proliferation of the Internet of Things (IoT) has brought more convenience and functionality than ever before to healthcare, education, industry, and other aspects of life; it has also created major cybersecurity ...
  • MediMart 
    Khalilullah, Md. Ibrahim; Islam, Md. Sakibul (Daffodil International University, 2025-09-17)
    Accessing medicines in Bangladesh can often be frustrating—long queues, limited stock, and the need for physical prescriptions make it harder for people to get what they need, especially during emergencies. MediMart was ...

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