Project Report: Recent submissions

  • Intelligence for Deepfake Detection: An Experimental Measure to Combat Rising Cyber Threat 
    Islam, Md. Raisul; Rakib, Md. Aminul Islam (Daffodil International University, 2024-07-24)
    Deepfake detection technology primarily combines artificial intelligence and machine learning, including deep learning techniques such as Multi-layer Perceptrons (MLP), Convolutional Neural Networks (CNN), and EfficientNet ...
  • Enhancing Cryptocurrency Price Prediction and Analysis through Deep Learning 
    Kundu, Amit Kumar (Daffodil International University, 2024-07-24)
    Predicting Bitcoin prices remains a complex challenge due to the cryptocurrency market's inherent volatility and rapid fluctuations. Based on historical price data gathered from Investing.com over the previous five years, ...
  • Lychee Leaf Disease Detection Using Computer Vision and Deep CNN 
    Rafe, Mohammad (Daffodil International University, 2024-07-24)
    There has been a consistent increase in the demand for litchi in South Asia. Due to the fact that it is a fruit that is only available during specific times of the year, it is extremely attractive, particularly in ...
  • Detecting Bangladeshi flowers and its classifications from image using CNN 
    Fariha, Tahmina Tabassom; Tipu, Md.Atikul Islam (Daffodil International University, 2024-08-24)
    Image processing has been one of the most practiced features of digitalization and it has enormous role in different sectors of our life. Convolutional Neural Network (CNN) has made image processing and other mechanism ...
  • Rice Leaf Disease Identification Using Deep Learning 
    Saque, Saquline Suja (Daffodil International University, 2024-07-24)
    We have developed an online app to identify rice leaf diseases automatically through deep learning models. The gravest challenges to crop production and food safety are posed by rice leaf diseases like Tungro, Blast, ...
  • Bangladeshi Jujube Leaf Disease Classification Using Deep Learning Techniques 
    Ahmed, Jobaer; Hasan, Sazid (Daffodil International University, 2024-07-24)
    This paper explores the use of deep learning algorithms in identifying diseases affecting Bangladesh jujube leaves, with the goal of improving crop yields and yields’ management. A dataset comprising 2400 images was ...
  • Project on Finding the Best Social Media Platform for Social Media Marketing using Machine Learning 
    Ullah, Md. Shihab; Akter, Rojoni (Daffodil International University, 2024-07-24)
    The purpose of this study is to determine when a new entrepreneur wants to start a business in social media, he or she will know which social media platform is best for business. Based on collected data (We collected ...
  • Early Parkinson Disease Detection With Feature Extraction Using Machine Learning 
    Alvi, Nafi Bin Monsoor; Al Emon, Md. (Daffodil International University, 2024-07-13)
    Parkinson's disease (PD) is a neurodegenerative disorder impacting millions worldwide. This study aims to leverage machine learning algorithms to improve the diagnosis and understanding of PD. Building upon existing ...
  • AAYATBD 
    Shuvo, Tanvir Ahmed; Turag, Md. Rifat Mahmud (Daffodil International University, 2024-07-24)
    In the contemporary digital landscape, the reliance on online platforms for various services has become ubiquitous. AAYATBD emerges as a pioneering solution in the realm of smart courier and logistic services, catering ...
  • Comprehensive study of sms spam detection strategies based on TCP protocols 
    Islam, Md. Moshrekul; Alvi, Abdul Rahman (Daffodil International University, 2024-07-24)
    This study aims to enhance the accuracy of SMS spam detection, addressing the rising threat of unsolicited and potentially harmful messages in mobile communication. By leveraging both machine learning and deep learning ...
  • Mobile Game Addiction Levels Among University Students Using Machine Learning 
    Masud, Jubayer Al (Daffodil International University, 2024-07-24)
    Using mobile game addiction as a research focus, this case study examines how this digital disorder affects the academic performance and social life of university students. The study objectives include applying machine ...
  • Your jobs: an android application for find jobs and internship program 
    Halder, Dinokar (Daffodil International University, 2024-08-24)
    The project “YOUR JOBs”: AN ANDROID APPLICATION FOR SEARCHING JOB AND INTERNSHIP PROGRAM. Focuses on how beginner candidate easily find an internship program and a new job for apply. It might be difficult for job seekers ...
  • An effective approach for multi-class fruit and vegetable classification based on modified ResNet-18 from a combined dataset 
    Siddiquei, Md Aktaruzzaman (Daffodil International University, 2024-07-15)
    This study delves into the pivotal role of fruit and vegetable quality in influencing human health, emphasizing the necessity of prioritizing fresh produce for optimal well-being. Consumption of high-quality fruits and ...
  • Detection of phishing URLs: a machine learning approach 
    Ahmed, Shakib (Daffodil International University, 2024-01-13)
    Phishing attacks represent one of the most prominent cybercrimes today, their main aim is illicitly acquiring sensitive information such as passwords, user names, email bank details, and credit card information. Their ...
  • A Web Based Application :Online Book Store 
    Bikash, Md. Sakhawat Hossen (Daffodil International University, 2024-07-24)
    As the digital age continues to shape the way we interact with information and media, online bookstores have become integral platforms for readers worldwide. This abstract delves into the dynamics, challenges, and ...
  • Adapting Whisper AI for Multilingual Speech-To-Text Conversion in Bangladeshi Ethnic Languages 
    Yeiad, Kabid; Jim, Jannatul Ferdushi (Daffodil International University, 2024-07-24)
    This research shows how a full speech-to-text and translation system was made to turn sounds from five different ethnic languages into Bangla. These languages are Malo, Bawm, Santali, Marma, and Garo. The study looks at ...
  • Pneumonia detection with x-ray images approach with deep learning 
    Arnob, Abid Rayhan; Atika, Maria Akther (Daffodil International University, 2024-07-24)
    This study tries to create a reliable model for detecting pneumonia using chest X-ray images. The work makes use of advanced deep learning architectures such as DenseNet, InceptionV3, ResNet, VGG16, and VGG19, as well ...
  • Rice leaf disease detection using convolutional neural networks 
    Hossain, Md. Sabbir (Daffodil International University, 2024-07-24)
    Rice is one of the major developed crops in Bangladesh which is influenced by different infections at different stages of its cultivation. It is exceptionally troublesome for the farmers to manually identify these ...
  • Music Studio - Elevate Your Musical Talent 
    Mean, Md Minhaz (Daffodil International University, 2024-07-24)
    The “Music Studio - A Web Based Online Music School Application” project is an innovative web-based platform designed to revolutionize online music education by seamlessly connecting students with skilled instructors ...
  • A Machine Learning Approach to Predict Quality of Drinkable Water. 
    Ananta, Fuad Ahmed; Emon, Al-Sabbir-bin-Saifullah (Daffodil International University, 2024-07-24)
    Ensuring access to clean and safe drinking water is vital for both human health and environmental balance. This study focus into the application of computer algorithms to predict the safety of drinking water. The primary ...

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