DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING: Recent submissions

  • Detection of Tea Leaf Diseases Using Deep Transfer Learning 
    Athoi, Anzim Tasrif (Daffodil International University, 2025-09-17)
    One of the most serious plant diseases to the production of tea is the tea leaf disease. In the early stages, it often shows no visible symptoms, making early detection difficult until the infection spreads across the ...
  • A Web-Based Book Recommendation System Implementing Machine Learning 
    Saad, Saadman (Daffodil International University, 2025-09-17)
    In this project, a personalized, precise book recommendation system is created based on the Book-Crossing dataset by using Truncated Singular Value Decomposition (SVD) of the matrices as a factorization on the dataset. ...
  • Leaf Disease Detection in Bean and Eggplant Using Transfer Learning 
    Niloy, Saif Mahamud (Daffodil International University, 2025-09-17)
    In this work I developed a complete deep learning pipeline that classifies bean and eggplant leaf images into affected and healthy classes. I captured the source images myself using an iPhone and converted them to JPG ...
  • COVID-19 Detection from Chest XRay Images using Deep Neural Networks 
    Mulla, Asad (Daffodil International University, 2025-09-17)
    The COVID-19 outbreak made it evident how crucial it is to have diagnostic tests that are both accurate , quick and cheap. RT-PCR is the usual test that many people use, however it often takes a long time to get results ...
  • Multi-Functional E-Commerce Platform: Buy, Sell, Exchange 
    Rabbani, Md Golam (Daffodil International University, 2025-09-17)
    As the digital world is fast evolving, e-commerce websites are now the most vital tools for businesses and individuals to facilitate efficient purchasing, selling, and exchanging goods. Exchange Bazar is presented in this ...
  • Car Doctor: An Android Application to Revolutionize Vehicle Service Sector 
    Tonmoy, Mustafizur Rahman; Hasan, Jahid (Daffodil International University, 2025-09-16)
    In the high-speed world of today, car maintenance typically results in causing most people more stress. It is a common experience, over and over again, to hear car owners complain about locating original parts, getting ...
  • Comparative Performance Study of YOLO Models in Bangladeshi Number Plate Detection 
    Kafi, Abdullah All (Daffodil International University, 2025-09-17)
    The paper is a comparison of the performance of selected YOLO models (YOLOv8m, YOLOv12m, YOLOv11m, YOLOv9m, and YOLOv10m) that are used to detect vehicle number plates in Bangladesh with respect to precision, recall and ...
  • AI-Driven Prediction of Seedling Growth in Different Soil Media Using Machine Learning 
    Sen, Akash; Jerin, Rokeya Ahsan (Daffodil International University, 2025-09-17)
    This work offers a data intensive framework for assessing seedling growth in various soil media by predicting plant performance from key environmental conditions. The farming yields are hampered by poor utilization of data ...
  • Static Malware Detection Using Machine Learning: A Feature-Based Approach 
    Islam, Ariful (Daffodil International University, 2025-09-17)
    Malware represents a serious existential threat to digital security because adversaries are now using obfuscation, polymorphism, and encryption to evade the use of conventional signature-based detection systems. To surmount ...
  • Deep Learning for Bone Health-A Transformer Based Framework for Osteoporosis Screening 
    Rahman, Abdur; Mim, Sarmin Rahman (Daffodil International University, 2025-09-16)
    Osteoporosis is a progressive bone disease that leads to a higher risk of fractures, and early diagnosis continues to be a significant problem because current diagnostic tools are not comprehensive. In this work, we ...
  • TourBangla – Travel & Tourism Guide App 
    Islam, Md. Taijul (Daffodil International University, 2025-09-16)
    TourBangla is a full package travelling and tourism planner of travelling across the gorgeous Bangladesh. The app is created using the Flutter and Dart language [11], and it offers solutions to the tourism related problems, ...
  • A Computer Vision System for Dragon Fruit and Leaf Disease Classification Using Deep Learning 
    Biswas, Arup (2025-09-17)
    Production of dragon fruit is of economic importance but is severely affected by fungus and insect outbreak, especially stem canker and scale insects that reduce production and quality. The conventional disease identification ...
  • Elanzo: Design and Development of a Tailored Fashion Experience 
    Abir, Md. Arafath Hossen (Daffodil International University, 2025-09-09)
    Elanzo – AI based e-commerce platform transforming the way we shop online. By leveraging advanced AI technologies such as natural language processing (NLP), machine learning and sentiment analysis, Elanzo will be able to ...
  • Pneumonia Detection from Chest X- Ray Images using Deep Neural Network 
    Shishir, Nazmul Shihab (Daffodil International University, 2025-09-16)
    Pneumonia is still a significant public health issue at worldwide level, especially in children and elderly, in which a not timely recognized or mistaken diagnosis may induce important and lethal complications. Pneumonia ...
  • Fitlife Hub: Web-Based Gym Management and Community Platform 
    Halder, Shuvo (Daffodil International University, 2025-09-16)
    Most fitness apps today are centered on a single feature, whether that is logging workouts, booking classes or purchasing gym products. This renders it impossible for users to combine all fitness requirements over one ...
  • MuktiBazar: Syndicate-Free Agricultural Trade System for Grassroot Farmers Using MERN 
    Tajwar, Md. Faisal (Daffodil International University, 2025-09-17)
    MuktiBazar is an end-to-end online agriculture marketplace application, which is aimed at transforming the farming ecosystem in Bangladesh and a subset of the mission 2030 digitalization target via integration of traditional ...
  • Advancing Network Security with Machine Learning: A Predictive Intrusion Detection System 
    Akter, Sumaya; Ahmed, Tawhid (Daffodil International University, 2025-09-17)
    In this paper, we benchmark and compare many machine leaning models in the CIC- IDS2017 for cyber-attack detection. The models are compared with Logistic Regression, Decision Tree, Random Forest, XGBoost, and LightGBM. ...
  • AI-Based Early Disease Diagnosis Using Deep Learning: A Case Study on MPOX 
    Dass, Kakon (Daffodil International University, 2025-09-16)
    This study presents a deep learning-based approach for classifying Mpox disease from medical image data, aiming to enhance accuracy and speed in clinical diagnosis. A dataset of 3,574 images, categorized into Monkeypox, ...
  • Solar Solution For Network Problem 
    Mahamood, Sajid (Daffodil International University, 2025-09-17)
    This project proposes an IoT-based dual power mobile network monitoring system designed to ensure continuous connectivity during power outages. It involves two network towers—one connected only to the grid and the other ...
  • Advancing Image Classification through Self-Supervised Representation: Comparative Benchmarking with Lightweight CNNs, and Traditional Baselines 
    Dip, Supta Das; Dewan, Mohammad Asif (Daffodil International University, 2025-09-17)
    Image-based plant disease classification has become increasingly important in supporting maintainable agriculture by enabling early detection and intervention. However, existing approaches often face two critical limitations: ...

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