Project Report: Recent submissions

  • Smart-DIU: routine scrapper with some more features website for teachers and students 
    Tura, Sanjita Israt (Daffodil International University, 2024-01-22)
    Many times students have to face trouble to find a teacher. Again I know that the routine whichis sent to us through email from the department contains all the sections of all the batchestogether. It becomes very difficult ...
  • What a pregnant lady should eat: a machine learning empowered web-based application to detect food 
    Bishal, Sabria Alam (Daffodil International University, 2024-01-01)
    It's critical for the growth of the fetus as well as the health of the mother to get enough nutrients throughout pregnancy. Women need special attention throughout pregnancy. Maintaining a balanced diet and sufficient ...
  • Understanding public sentiment using social media activities: a machine learning approach 
    Habib, Md. Ferdous (Daffodil International University, 2024-01-24)
    People use different social media platform to express their thoughts in their profiles or write comments on various aspects of world. Then a huge amount of data is generated and are stored on the internet in an unorganized, ...
  • Sentiment analysis on Bangladesh cricket team's World Cup prospects: a study of Bengali social media comments" 
    Smrity, Sharmina Urmila (Daffodil International University, 2024-01-01)
    The Bangladesh cricket team has developed a sizable following on social networking sites, where supporters share their thoughts, feelings, and sentiments regarding the team's performance. The purpose of this thesis is ...
  • A proposed deep learning approach for detecting brinjal plant diseases. 
    Hasan, Md Mustakin (Daffodil International University, 2024-01-22)
    The article provides a unique deep learning strategy for automatic recognition of brinjal plant diseases, using a large dataset that contains varied events of Phytophthora Blight, Leaf Curl Disease, Withering Leaves, ...
  • Hashtag CSE mobile application 
    Jibon, Shakh Istiak Hossain (Daffodil International University, 2024-01-01)
    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 ...
  • A model for predicting Ethereum future price rates using machine learning 
    Azad, Shiam Bin (Daffodil International University, 2024-01-01)
    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, 2024-01-01)
    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 ...
  • Contrastive learning approaches for ophthalmic biomarker identification: unveiling insights into eye health 
    Chamok, Farjana Haque (Daffodil International University, 2024-01-01)
    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 ...
  • e-LibraryX: Enhancing and Easing the Digital Library Experience 
    Azam, Kazi Shafiul (Daffodil International University, 2024-01-01)
    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, 2024-01-01)
    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, 2024-01-01)
    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, 2024-01-01)
    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 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, 2024-01-25)
    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 ...

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