Faculty of Science and Information Technology: Recent submissions

  • 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 ...
  • Explainable Multimodal Hybrid Framework for Cervical Cancer Detection via Vision Transformers and LLM-Based Clinical Feature Fusion 
    Alo, Alaya Parven (Daffodil International University, 2025-09-17)
    Cervical cancer is still among the major female causes of death globally, particularly in regions with limited access to healthcare. Although deep learning has been prospective for computer-aided diagnosis, its lack of ...
  • A Machine Learning Framework for Hepatic Health Analysis 
    Albi, Md. Ashraful Islam (Daffodil International University, 2025-09-17)
    Liver diseases such as Hepatitis, Cirrhosis, Fatty Liver Disease (NAFLD), and Cholestasis are the main causes of world-wide health burden due to their non-symptomatic presentation and diagnosis at late stages. Correct ...
  • Machine Learning-Powered Brain Imaging for Early Detection of Autism Spectrum Disorder 
    Mia, Md Shohag (Daffodil International University, 2025-09-17)
    Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition whose accurate and early detection remains an enduring challenge in clinical neuroscience. Resting-state functional magnetic resonance imaging ...
  • An Evaluation of Bangla Text Summarization and Long Context Understanding Using LLMs 
    Hasnat, Abul (Daffodil International University, 2025-01-13)
    In the realm of natural language processing, summarizing text in Bangla involves overcoming significant challenges, owing to the language's complex grammatical intricacies and rich linguistic variations. This study explores ...
  • Sepside: An Edge-AI IoT System for Early Sepsis Warning and Time-to- Deterioration Prediction 
    Nissan, Faysal Bin Khaled (Daffodil International University, 2025-09-17)
    Sepsis is a fatal condition that is triggered by a dysregulated immune response as the body reacts to an infection, and timely detection is one of the largest challenges in medical care today. Delays in diagnosis and ...
  • Digital Threat: Misinformation Detection using LSTM in TensorFlow 
    Roy, Bikrom Adatya; Ahmed, Mir Saleh (Daffodil International University, 2025-09-16)
    In today's digital world, where false information spreads swiftly via social media and jeopardizes public trust, misinformation has become a significant issue. Despite the existence of some traditional detection methods, ...
  • Predicting Effects of Music in University Students Productivity Using Machine Learning 
    Sarker, Sabbir Ullah (Daffodil International University, 2025-09-16)
    Humans have used music as a fundamental aspect of their existence for centuries because it modifies their emotional state as well as their mental processing abilities and behavioral responses. Multiple investigations ...
  • KAK & KOKIL A Concept & Design of Dual Drone Operational System 
    Islam, Mohitul; Baidya, Sohag (Daffodil International University, 2025-09-17)
    In this report, a design, development, and integration of a two-drone Unmanned Aerial Vehicle (UAV) system is given, composed of Kak and Kokil drones. Kak is a long-range reconnaissance and surveillance hybrid propulsion ...
  • Deep Learning-Based Teeth Disease Detection Using Dental X-ray Images 
    Jim, Jubair Rahman; Shajib, Md Shorowar Islam (Daffodil International University, 2025-09-16)
    Oral health is vital for overall well-being. However, dental problems like cavities, gum disease, and infections are still very common around the world. Early diagnosis is crucial to avoid serious issues. Traditional ...

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