Project Report: Recent submissions

  • A model for predicting Ethereum future price rates using machine learning 
    Azad, Shiam Bin (Daffodil International University, 2024-01-25)
    Considered by many to be the forerunner of smart contract technology, Ethereum has become a widely used blockchain platform. Beyond being a cryptocurrency, Ethereum's main purpose is to offer a decentralized platform for ...
  • A machine learning approach to smartphone addiction prediction 
    Niloy, Nahid Ahmed (Daffodil International University, 2024-01-25)
    In our tech-filled world, smartphones have become a big part of our lives, but sometimes, people find themselves using them a bit too much, causing issues for themselves and those around them. This happens because we ...
  • Hashtag CSE mobile application 
    Jibon, Shakh Istiak Hossain (Daffodil International University, 2024-01-25)
    In the dynamic realm of Computer Science and Engineering (CSE) education at DIU, I identified a common challenge faced by students a lack of readily available answers to the myriad questions that arise in our daily ...
  • Contrastive learning approaches for ophthalmic biomarker identification: unveiling insights into eye health 
    Chamok, Farjana Haque (Daffodil International University, 2024-01-25)
    The field of ophthalmic biomarker identification plays a pivotal role in understanding and monitoring eye health. In this study, I leverage the EfficientViT_m5.r224_inlk model as our foundational framework to explore ...
  • DIU Club Manager 
    Alif, Sadid Ahmed (Daffodil International University, 2024-01-25)
    Diu Club Manager" is a creative web project that seeks to revolutionize the way clubs are run inside companies. Using the sophisticated administration panel of the platform, administrators can quickly create new clubs, ...
  • eLibraryX : enhancing and easing the digital library experience 
    Azam, Kazi Shafiul (Daffodil International University, 2024-01-25)
    The online library management system is a significant development in the field of library services that seeks to optimise and change conventional methods by incorporating modern technologies. Essentially, the system aims ...
  • Deceptive narrative ml: unveiling fake news 
    Ayatullah, Md. (Daffodil International University, 2024-01-25)
    The problem of fake news is a big issue nowadays, with difficulties being caused by false information. This study examines the use of machine learning (ML) to detect fake information. Fake news, which often appears real, ...
  • Dengue fever prediction using machine learning techniques 
    Mozumder, Md: Kamrul Hasan (Daffodil International University, 2024-01-25)
    The rapid and broad spread of the virus that causes dengue is a hallmark of the dengue, a global epidemic, a worldwide health problem. Using data from Kaggle, this project is about predicting Dengue Fever through machine ...
  • Food review management 
    Ahmed, Izaz (Daffodil International University, 2024-01-25)
    Food review Management is a dedicated Android application for the culinary enthusiasts of Daffodil International University. This user-friendly app streamlines the process of reviewing foods in campus restaurants. With ...
  • Mental health among university students in Bangladesh is forecasted using machine learning 
    Shawn, Md. Sadiqul Islam (Daffodil International University, 2024-01-25)
    Medical professionals diagnose depression based on patient self-reporting and mental status questionnaires. Mentally ill people are reluctant to seek mental health treatment, in addition to the fact that the approaches ...
  • A machine learning approach to detect intrusion 
    Shaon, Md. Shahriar Parvez (Daffodil International University, 2024-01-24)
    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, 2024-01-25)
    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, 2024-01-25)
    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, 2024-01-24)
    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, 2024-01-22)
    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, 2024-01-22)
    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, 2024-01-25)
    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, 2024-01-25)
    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 ...

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