DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING: Recent submissions

  • 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 ...
  • Customer Satisfaction Sentiment Analysis For Online Transactions In Bangladesh Using Machine Learning 
    Pias, Md. Almahmud (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-07-10)
    Online transactions are becoming increasingly popular in Bangladesh, starting from shopping, we transact online. Online payment plays a very important role in paying any shopping bill. To find any possible problems and ...
  • SKILLSYNTH: 
    Zonaid, Md.; Sutradhar, Biplob Kumar (Daffodil International University, 2024-07-24)
    SkillSynth is an innovative, interactive, and personalized education platform designed to enhance online learning by leveraging existing AI technologies. It offers a comprehensive solution addressing both content creation ...
  • Smart Water Hydrant System (IoT) 
    Unknown author (Daffodil International University, 2024-07-24)
    This report details the design, implementation, and testing of a Smart Water Hydrant system using advanced Internet of Things (IoT) technologies. Developed individually, this project utilizes Node-RED for visual programming ...
  • Improving Heart Disease Diagnosis Through Supervised Machine Learning Techniques 
    Sijon, Khaled Bin (Daffodil International University, 2024-07-24)
    Heart disease is a major risk to public health, accounting for 17.9 million deaths globally annually. Predicting cardiac disease with machine learning (ML) approaches like Linear Regression, Random Forests, Naive Bayes, ...
  • Towards detection of alopecia diseases through deep learning 
    Haque, Majbaul (Daffodil International University, 2024-07-24)
    The frequency of alopecia, a group of illnesses characterized by hair loss, makes diagnosis and treatment extremely difficult. Conventional diagnosis techniques produce outcomes that are subjective and inconsistent since ...
  • An Automated Process of Detecting Fresh And Rotten Vegetables by Using Deep Learning 
    Chowdhury, Fatin Fuad (Daffodil International University, 2024-07-24)
    Classification of fresh and rotten vegetables is essential in our everyday life as it becomes difficult sometimes to identify earlier whether the vegetables are fully fresh or not. There is a possibility of suffering ...
  • Human brain disease detection from MRI using deep learning approaches 
    Mahamud, Md. Hasan (Daffodil International University, 2024-07-24)
    MRI scans can be used to diagnose some types of brain diseases, which can lead to early treatment of the diseases. This study employs deep learning approaches to develop robust models for automated brain disease detection ...
  • Factors Influencing the Adoption of Smartwatches: A PLS-SEM Analysis using SmartPLS. 
    Fama, Fatema Faruque (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-07-14)
    This study explores how people incorporate smartwatches into their daily lives. I used Partial Least Squares Structural Equation Modeling (PLS-SEM) as the statistical approach, utilizing the SmartPLS tool to analyze the ...
  • Web-Based Online Car Repair Centre 
    Rahim, Md Abdur Raufur (Daffodil International University, 2024-07-24)
    This project aims to develop a web-based car servicing center to modernize the automotive service industry. The platform offers customers the convenience of booking services online 24/7, with real-time updates and seamless ...
  • Impact of Artificial Intelligence on Tertiary Level Education in Bangladesh: A Comparative Analysis of Positive and Negative Effects 
    Dowlla, Md. Asaf-Ud (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-07-14)
    This thesis explores the integration of Artificial Intelligence (AI) in tertiary-level education in Bangladesh, examining the perceptions, usage, and impact of AI among students from various universities. A survey conducted ...
  • Skin disease classification using fine-tuned transfer learning techniques 
    Dhar, Bijoy; Shuvo, Monir Husain (Daffodil International University, 2024-07-24)
    Millions of individuals worldwide suffer from skin illnesses, which pose considerable health and economic difficulties. Accurate and prompt diagnosis is crucial for successful treatment and management. Traditional ...
  • Birds Emotion Classification Using AI 
    Rafid, Golam Faiyaz; Das, Shreya (Daffodil International University, 2024-07-13)
    The recognition of emotions in animals, particularly birds, through vocalizations holds significant promise for understanding avian behavior and welfare. In this study, we propose a novel approach to classify bird species ...
  • What a pregnant lady should eat: a machine learning empowered web-based application to detect food 
    Bishal, Sabria Alam (Daffodil International University, 2024-01-25)
    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 ...
  • Detection Of Depression And Anxiety Symptoms In University Students Using Machine Learning 
    Akter, Tahmina (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-07-14)
    This report explores the application of machine learning techniques for the detection of depression and anxiety symptoms among university students. The prevalence of mental health issues in this demographic poses significant ...
  • An Optimized Business Approach Utilizing Social Media For Digital Marketing 
    Jonayed, Mohammad (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-07-14)
    Utilizing social media for digital marketing is crucial for companies seeking to strengthen their competitive edge by engaging with diverse audiences. With billions of active users on various platforms, social media offers ...
  • Comparative Analysis Of Machine Learning Techniques For Predicting Customer Churn In The Telecom 
    Hossain, Sazzad (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-07-14)
    Customer churn prediction is a critical aspect of the telecommunications industry, significantly impacting a company's profitability and customer retention strategies. This thesis aims to develop an effective predictive ...
  • Impact of Google’s Augmented Reality Try-On in Bangladesh 
    Talukder, Navilur Rahman (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-07-14)
    Google Try-On introduced by Google as an AR technology allow users, to virtually put on products before actually buying them. This research examines the possibilities, opportunities and issues of implementing Google Try-On ...
  • Predictive Modeling of Heart Failure: Integrating Clinical Data with Machine Learning 
    Ahmed, Tanvir (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-07-14)
    Heart failure is a critical health condition that poses significant challenges to the medical community due to its high mortality rate and substantial healthcare costs. Early predictionofheart failure can greatly improve ...

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