Faculty of Science and Information Technology: Recent submissions

  • Hospital Management with Online Booking System 
    Yeasir, Z M Touki (Daffodil International University, 2025-05-14)
    The proposed project, "Hospital Management with Online Booking System," is a webbased solution designed to simplify the process of searching for and booking appointments with doctors. It addresses the common issue of ...
  • Explainable AI (XAI) driven Mango leaf disease detection using State-ofthe-art convolutional neural network and Tiny-Net 
    Anu, Aunirudra Dey; Chakraborty, Karina (Daffodil International University, 2025-05-14)
    Rising agricultural requirements for intelligent, accessible solutions demonstrate why efficient plant disease detection systems have become vital. A deep learning framework has been developed to automatically detect mango ...
  • Vulnerability Detection in Source Code Using AI 
    Alim, shraful (Daffodil International University, 2025-09-14)
    This project delves into the critical need for automated source code security checks in today's modern software development process. The software development process in the industry is growing more complex day by day, the ...
  • Building Trust with Explainable AI in Lung Disease Detection Using Deep Learning 
    Sultana, Jarin (Daffodil International University, 2025-09-18)
    The primary aim of this research is to design an XAI system for lung disease diagnosis that achieves the highest degree of accuracy possible in a more user-friendly manner than current systems. The EfficientB5 Network model ...
  • SmartPOS: A Web-Based Restaurant Management System 
    Ullah, Monir (Daffodil International University, 2025-09-17)
    A Restaurant Management System (RMS) is essential for streamlining restaurant operations such as order processing, kitchen coordination, billing, and reporting. Many systems already exist in the market, but each comes with ...
  • An Enhanced Image Steganography Approach in DWT Transform Area using LSB for Secure Data Transmission 
    Hossain, MD. Imtiaz (Daffodil International University, 2025-09-17)
    The rising cases of cyber threats have necessitated the need to give greater emphasis on steganography methods of secure digitally communicating. A better method of image steganography that incorporates Discrete Wavelet ...
  • Automated Product Aggregator and Summarizing System 
    Mahmud, Tuhin (Daffodil International University, 2025-09-18)
    The rapid growth of e-commerce has led to significant information overload for consumers, making efficient product comparison a time-consuming and challenging task. This project addresses this issue through the design and ...
  • Detecting Brain Tumor Using YOLOv12 Model From MRI Images 
    Tamanna, Afiya Farzana (Daffodil International University, 2025-09-18)
    Brain tumor detection from magnetic resonance imaging (MRI) scans is crucial for early diagnosis and effective treatment planning. However, manual interpretation is slow, subjective and error-prone. With the rapid advancement ...
  • LLM-Based Code Generation and Debugging for Automated Software Development 
    Bakki, Md. Abdullah Al (Daffodil International University, 2025-09-22)
    Large Language Models (LLMs) are reshaping automated software development,particularly in code generation and debugging. This paper presents a critical review andproposes a novel multi-agent framework addressing key ...
  • Automatic Portfolio Website Generator 
    Siam, Md. Samiul Alam (Daffodil International University, 2025-09-22)
    The platform provides job alerts and a search tool that links users to external job sites. Its clean, responsive interface helps showcase academic work, skills, and experience more effectively. This platform allows users ...
  • Explainable AI for Lung Cancer Detection with LLM-Driven Clinical Narratives. 
    Kavi, hah Nafis Mohammad (Daffodil International University, 2025-09-22)
    Lung cancer remains one of the leading causes of cancer-related mortality worldwide. This paper presents a comprehensive AI-driven framework for early and accurate detection of lung cancer using the LIDC-IDRI dataset, ...
  • Toward Robust AI-Based Detection of Oral Cancer: Benchmarking CNNs, InceptionV3, and Vision Transformers on Clinical and Histopathological Images 
    Ankon, Arafat Hossain (Daffodil International University, 2025-09-18)
    Oral cancer continues to represent a significant challenge to world health because late diagnosis contributes to a decrease in survival. Currently, diagnosis is based on subjective clinical examinations and invasive ...
  • Algosikhi An Online learning platform for Data Structures and Algorithms 
    Fahim, Jamil Hasan (Daffodil International University, 2025-09-18)
    The Algosikhi Learning Platform is a web-based educational system designed to help students and self-learners master Data Structures and Algorithms (DSA) through interactive visualizations and real-time pseudocode execution. ...
  • Learning Management System 
    Adhikary, Sourov (Daffodil International University, 2025-09-18)
    Esosikhi is a learning management system which provide the online learning for the student from internet. This system view course, allow to enrollment and registration the academic or professional course from any parts of ...
  • Developing IDE for Competitive Programming 
    Ahamed, Md Shamim (Daffodil International University, 2025-09-18)
    The BrainBox IDE is a simple, browser-based platform created to improve the way competitive programming is taught in universities. In many cases, programming classes in Bangladesh still depend on separate local tools and ...
  • BranchNet: A system of connecting profile and paths 
    Hridoy, Md. Abdullah Al Mahamud (Daffodil International University, 2025-09-18)
    This web based recruitment site is a flexible web based platform that links job seekers and potential employers. It facilitates the smooth recruitment processes since it allows users to register, create profiles, add their ...
  • Embracing Agile: Evaluating the Adoption and Effectiveness of Agile Methodologies in the Software Industry of Bangladesh 
    Chowdhury, Ali Hasnain Moula (Daffodil International University, 2025-09-18)
    In this paper we explore the new trend of Agile methodologies in Bangladeshi software industry, to get an insight on (1) how much these methodologies are being adopted here, (2) where practitioners satisfaction regarding ...
  • Comparative Analysis of MobileNetV2, EfficientNetB0, and U-Net Models for Kidney Disease Classification from CT Scans 
    Patwary, Kongkiat (Daffodil International University, 2025-09-18)
    Kidney disease includes affected cysts, tumors, and stones which is a significant worldwide health problem, where delayed or inaccurate diagnosis can negatively impact results. Computed tomography (CT) affords high anatomical ...
  • Federated Learning Based Lung Cancer Classification 
    Rahman, Mostafizur; Tabassum, Gool A (Daffodil International University, 2025-05-14)
    In this paper, an interpretable and privacy-preserving lung cancer classification framework based on federated learning (FL) combined with Explainable AI (XAI) approaches is proposed. The system comprises of CNN, LeNet5, ...
  • An Explainable Artificial IntelligenceDriven Minimal Net for Tea Leaf Disease Detection 
    Ahmed, Faruk (Daffodil International University, 2025-05-14)
    Tea leaf diseases pose a significant threat to crop yield and quality, especially in regions where agriculture is a key economic sector. Accurate and real-time detection of tea leaf diseases remains a significant challenge ...

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