Faculty of Science and Information Technology: Recent submissions

  • Poribar - mobile based community application 
    Biswas, Md. Imran (Daffodil International University, 2024-07-24)
    PORIBAR is a Mobile Base Community Application. The app is a project to unite a community on one platform. If an organization wants to keep track of all their employees from where they joined their organization, then ...
  • Grape Leafs Disease Detection Using Customized CNN Model 
    Sakib, Nazmus (Daffodil International University, 2024-07-13)
    This study looks at the diagnosis of grape leaf illnesses using a Kaggle dataset that is categorized into four categories: "esca," "black rot," "healthy," and "leaf blight." The study introduces a brand-new illness ...
  • My travel - web web-based travel management system 
    Roy, Bibhu (Daffodil International University, 2024-07-13)
    The user-friendly Web-based travel management system (TMS) "MyTravel" was created with three main stakeholders in mind: system administrators, organizers, and customers all of whom want to travel more easily and more ...
  • Detection of bone fracture based on x-ray image using deep learning approach 
    Sani, Jahid Sizan (Daffodil International University, 2024-07-13)
    A well-established paradigm exists for fracture identification in medical imaging. Computer- assisted diagnostic systems (CAD) are used by many physicians and other health care providers nowadays to help them detect a ...
  • Bangladeshi Road Traffic Sign Detection And Navigation Using Deep Learning 
    Komol, Tawhid Ahmed (Daffodil International University, 2024-07-13)
    Bangladeshi road traffic sign detection is a must for enhancing road safety and aiding autonomous driving systems by accurately identifying and interpreting local traffic signs. This work focuses on the development of ...
  • Analysis of Skin Cancer feature pattern using GNN incorporating a Novel segmentation method. 
    Akter, Morium (Daffodil International University, 2024-07-13)
    This study presents a comprehensive approach for the classification of skin lesions into benign and malignant categories using a combination of k-means clustering segmentation and advanced computational models. The ...
  • Smart Retail Using Customer Loyalty & E-Invoice 
    Nafir, Md. Nattachiuj Jaman (Daffodil International University, 2024-07-13)
    As the retail landscape undergoes a paradigm shift towards digitalization and enhanced customer experiences, integrating customer loyalty programs and e-invoices into retail environments has become essential. This research ...
  • Enhancing Rice Pest Classification Through Machine Learning and Deep Learning Techniques 
    Akanda, Shawkat Uddin (Daffodil International University, 2024-07-13)
    The production of rice is essential to the world's food security, yet pests provide a constant danger and can result in large productivity losses. For efficient pest management techniques, rice pests must be identified ...
  • Smart Question Bank and Exam Model for Future Career Assesment 
    Fahim, Farjanur Rahman (Daffodil International University, 2024-07-13)
    This project study utilized A Smart question bank and exam model for future career assessment. The goal of this study is to improve future professional assessments through the creation and application of an online smart ...
  • Predictive Analysis of Temperature-Related Challenges in Bangladesh: 
    Hasan, Md Akil; Rahman, Md. Mostafizur (Daffodil International University, 2024-07-24)
    We are writing a paper based on the temperature in Bangladesh. Where we are working on a dataset from (2000-2022) that spans 23 years. We collected the data from NASA’s website(power data access viewer) [31] to help us ...
  • Exploring Deep Learning Architecture For Complex Hand Sign Language 
    Islam, Gazi Rashidul (Daffodil International University, 2024-07-13)
    This research paper describes how advanced deep learning methods were used to create a system that can recognise Bangla Sign Language (BSL). The goal of the project is to help the deaf people who speak Bangla communicate ...
  • Detecting Handwritten Bengali Mathematical Expressions Using Neural Networks 
    Ahsan, Md. Monjurul; Ahmad, Ishan (Daffodil International University, 2024-07-13)
    The problem of handwritten numerical expression recognition in languages such as Bengali is not well studied in machine learning, even though research on handwritten equations is well known. This work presents a thorough ...
  • Mental Health Support Network 
    Riyad, Md. Jannatun Nayem (Daffodil International University, 2024-07-13)
    The “Mental Health Support Network" is a web-based project to help individuals facing mental health challenges. My goal is to make it easier for people to find support and resources. The main goal of this web-based project ...
  • Lung Cancer Detection with Deep Neural Network 
    Fahim, Fahminul Islam (Daffodil International University, 2024-07-13)
    By using state of the art deep learning models on the Iraq Oncology Teaching Hospital/National Center for Cancer Diseases (IQ-OTH/NCCD) dataset, a novel advancement in lung cancer prediction is demonstrated in this study. ...
  • Attendance system based on face recognition using lbph method 
    Das, Tonmoy Chandra (Daffodil International University, 2024-07-13)
    Attendance tracing systems are crucial for organization to monitor the presence of individuals in various settings such as workplace, educational institutions and events. Traditional methods of attendance recording often ...
  • Diabetics Prediction System Using Machine Learning Algorithms “A Case Study Among Female Patient 
    Hossain, Arman (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-01-29)
    Millions of individuals worldwide suffer with diabetes mellitus, a chronic metabolic ailment, and early diagnosis is essential to controlling the condition and avoiding complications. The development of precise prediction ...
  • Postpartum Depression Detection and Its Features Analysis By Machine Learning Approach 
    Khanom, Khadiza (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-02-11)
    Postpartum depression (PPD) poses a significant health concern affecting mothers globally, yet early detection remains a challenge. This research explores a pioneering approach to PPD detection and feature analysis using ...
  • Customer Churn Prediction For Telecommunication Industry 
    Afroz, Naznin (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-07-10)
    Customer churn prediction for telecommunication industry Thesis I used 2 models from dataset KAHHLE to do the work. .K- nearest neighbor algorithm, Decision tree Algorithm Two Datasets are working well but I think K Neighbors ...
  • Postpartum Depression Detection And Its Features Analysis By Machine Learning Approach 
    Khanom, Khadiza (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-07-10)
    Postpartum depression (PPD) poses a significant health concern affecting mothers globally, yet early detection remains a challenge. This research explores a pioneering approach to PPD detection and feature analysis using ...
  • Stress Classification From Wearable Multimodal Physiological Signals: Deep Learning Approach 
    Halder, Aninda (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-07-10)
    Stress is a common problem with serious consequences for health and well-being, especially among healthcare workers such as nurses. Chronic stress in this population can lead to burnout, affecting both their personal ...

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