Project Report: Recent submissions

  • A Machine learning approach to detect intrusion 
    Shaon, Md. Shahriar Parvez (Daffodil International University, 2024-01-25)
    The rapid growth of interconnected digital device and the advancement of technology, the data security become an issue now a days. This leads various type of cyberattacks. In order to detect and effectively analyze ...
  • A novel approach to phishing detection and prevention using URL features and machine learning techniques 
    Haque, S. M. Mahamudul (Daffodil International University, 2024-01-01)
    Phishing attacks have emerged as a prevalent method hackers employ to deceive users and get unauthorized access to their personal information. These attacks aim to deceive users into revealing sensitive information, such ...
  • Heart disease prediction using machine learning 
    Alam, A.K.M Tanvir (Daffodil International University, 2024-01-25)
    Heart disease is getting increasingly widespread, and it has a high fatality rate throughout the world. Heart disease has become a major health concern for many individuals and the leading cause of mortality worldwide ...
  • Lemon disease classification using CNN-based Architectures 
    Zohura, Mst. Fatematuz (Daffodil International University, 2024-01-23)
    The focus of my study, "Lemon disease classification using CNN-based architecture," is image-based disease detection. Significant progress has been achieved in image processing, and artificial intelligence and its uses ...
  • Performance comparison of YOLOv5 and YOLOv8 for Plumeria Leaf Gall detection 
    Mahin, Md. Shafayat (Daffodil International University, 2024-01-21)
    Leaf galls are abnormal plant growths resulting from insect parasitism, which can cause major agricultural losses if not managed in a timely manner. Precise early detection of leaf galls is crucial for enabling targeted ...
  • Local bird species classification using advanced deep learning architecture 
    Sourov, Md. Abugalib (Daffodil International University, 2024-01-01)
    The goal of this research is to create a reliable system for classifying local bird species using modern deep learning architectures. The dataset forms the basis for this study and consists of 1,179 photos covering seven ...
  • A proposed deep learning approach for Bangla handwritten character recognition 
    Mahmud, Shadhin (Daffodil International University, 2024-01-24)
    The present research on Bangla Handwritten Character Identification investigated a wide range of deep learning architectures, including DenseNet201, VGG19, MobileNetV2, ResNet101, CNN01, and CNN02, and evaluated their ...
  • Bangladeshi Rice & Tea Leaf Disease Detection Using Machine Learning 
    Rakib, Md. (Daffodil International University, 2024-01-01)
    Bangladesh's economy is based primarily on agriculture, with the production of tea and rice being essential to maintaining livelihoods and food security. The persistent risk of illnesses in rice and tea plants, however, ...
  • Find my lawyer: a platform that can give you a perfect lawyer 
    Rayhan, Md. Abu (Daffodil International University, 2024-01-01)
    Find My Lawyer is a web-based platform designed to automate the entire examination procedure. This makes it easy to communicate with a lawyer. Nowadays, all work we can do from home, like telemedicine, shopping, housework, ...
  • Web-based Application: Destination Of Travelers 
    Halder, Bitan (Daffodil International University, 2024-01-22)
    The project's Web-based Destination Of Travelers Platform seeks to transform how people organize, reserve, and enjoy their travels and also save money. The demand for a comprehensive, user-friendly, and efficient online ...
  • Predicting non-melanoma skin cancer via a multi parameterized artificial neural network 
    Malo, Tapu Chandra (Daffodil International University, 2024-01-01)
    A significant and important part of our life is our health, and integrating computers into our daily lives has the potential to improve our health. Healthcare could undergo a radical change if a machine learning model ...
  • A machine learning and deep learning approach for Baengali newspaper headline categorization 
    Dola, Shamrita Tazbin (Daffodil International University, 2024-01-01)
    The internet world is called a repository of information and data. Where there is a huge amount of information and data collection. Through internet people can access any kind of information and data from any place at ...
  • Personality prediction based on social media posts using deep learning 
    Nahid, Nazmul Hosain (Daffodil International University, 2024-01-01)
    This study analyzes the complicated field of personality prediction through the use of the diverse data embedded in social media posts. Our research uses many different areas of machine learning and deep learning algorithms ...
  • Uni-Club: A Web Based Club Management Portal 
    Hasan, Khondokar Md. Mehedi (Daffodil International University, 2024-01-01)
    The Uni-Club aims to establish a vibrant extracurricular community at the Private The University of Bangladesh, providing students with opportunities to engage in a range of activities beyond their academic studies.Uni-clubs ...
  • Automated Lung cancer cell detection through advanced machine learning Algorithm based on analytical prediction method 
    Mita, Sumayarof (Daffodil International University, 2024-01-20)
    Lung cancer is the leading cause of cancer-related deaths worldwide. According to the World Health Organization (WHO) 1.80 million people died in 2020 because of lung cancer [1]. Lung cancer remains a leading cause of ...
  • To-Rent: an online platform for Hassle-Free House booking and flat rental services 
    Sajid, Sajidur Rahman (Daffodil International University, 2024-01-25)
    To-Rent is an innovative online platform revolutionizing the property rental experience. Upon registration, users gain access to a dynamic home page showcasing a diverse array of properties, each detailed with size, rent, ...
  • A comprehensive analysis of plant disease detection using advanced CNN Models 
    Anik, Md.Rakibul Hasan (Daffodil International University, 2024-01-01)
    Plant diseases are one of the primary difficulties encountered by farmers and farmers in the globe. Plant disease identification is vital in handling the care of plants. This paper describes a method for identifying plant ...
  • Predicting the satisfaction level of mobile banking users of Bangladesh from social media sites using machine learning 
    Razzak, Shoaba (Daffodil International University, 2024-01-24)
    The research focuses on the prediction of customer satisfaction in the mobile banking industry in Bangladesh, using social media data collected with Google Forms. The 2608- entry dataset categorizes target attributes as ...
  • Laundry loom an online laundry service 
    Marju, Md. Abul Hassan (Daffodil International University, 2024-01-01)
    The online laundry platform "Laundry Loom" provides the newest technology for washing, dry cleaning, and laundry. The system's use is adaptable. Our services leverage the expertise and experience we've amassed over the ...
  • Machine learning model for predicting insomnia levels among university students 
    Hasneen, Jessica (Daffodil International University, 2024-01-01)
    Insomnia is a common and concerning issue among university students that can have a significant impact on their academic performance, physical and mental health. Early detection and treatment of insomnia is important to ...

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