DIU Institutional Repository: Recent submissions

  • Mental Health Support Network 
    Riyad, Md. Jannatun Nayem (Daffodil International University, 2024-07-13)
    The “Mental Health Support Network" is a web-based project to help individuals facing mental health challenges. My goal is to make it easier for people to find support and resources. The main goal of this web-based project ...
  • Lung Cancer Detection with Deep Neural Network 
    Fahim, Fahminul Islam (Daffodil International University, 2024-07-13)
    By using state of the art deep learning models on the Iraq Oncology Teaching Hospital/National Center for Cancer Diseases (IQ-OTH/NCCD) dataset, a novel advancement in lung cancer prediction is demonstrated in this study. ...
  • Attendance system based on face recognition using lbph method 
    Das, Tonmoy Chandra (Daffodil International University, 2024-07-13)
    Attendance tracing systems are crucial for organization to monitor the presence of individuals in various settings such as workplace, educational institutions and events. Traditional methods of attendance recording often ...
  • Exploring the Development and Analysis of Mixed Fruits Jelly: 
    Akter, Aysha (Daffodil International University, 2024-05-23)
    The most important objective of this research work was to develop and analyze the proximate composition of mixed fruits jelly that including dragon (Selenicereus), pomegranate (Punica granatum) and strawberry (Fragaria ...
  • Impact of Late-Night sleeping effect on Daffodil International University Students, Savar, Ashulia 
    Faysa, Easa Bin (Daffodil International University, 2024-05-24)
    The sleep patterns of students, particularly those residing in hostels, have a profound impact on their academic performance, mental well-being, and physical health. This investigation delves into the consequences of ...
  • Preparation of mix vegetables seasoning for Potato chips and Dal vaja 
    Noman, Abdulha Al (Daffodil International University, 2024-04-05)
    A number of spice mixes, including mixed vegetable seasoning, have been developed in response to consumer desire for quick and tasty cooking solutions. The purpose of this study was to create and assess a novel mixed ...
  • Diabetics Prediction System Using Machine Learning Algorithms “A Case Study Among Female Patient 
    Hossain, Arman (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-01-29)
    Millions of individuals worldwide suffer with diabetes mellitus, a chronic metabolic ailment, and early diagnosis is essential to controlling the condition and avoiding complications. The development of precise prediction ...
  • Postpartum Depression Detection and Its Features Analysis By Machine Learning Approach 
    Khanom, Khadiza (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-02-11)
    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 ...
  • Customer Churn Prediction For Telecommunication Industry 
    Afroz, Naznin (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-07-10)
    Customer churn prediction for telecommunication industry Thesis I used 2 models from dataset KAHHLE to do the work. .K- nearest neighbor algorithm, Decision tree Algorithm Two Datasets are working well but I think K Neighbors ...
  • 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 ...
  • Dietary Factor and Relationship With Allergic Sensitization Prevalence 
    Chakrabarti, Dipta (Daffodil International University, 2024-12-28)
    This study examines the association between dietary habits and allergic sensitization, uncovering strong links between food choices and allergy management. 40% of the surveyed participants reported allergies, primarily to ...
  • Association Between Nutritional Knowledge, Nutritional Status and Sociodemographic Factors of High School Children: A Cross sectional Study on Uttara, Dhaka 
    Soran, Sanzida Arifin (Daffodil International University, 2024-12-30)
    The purpose of this cross-sectional study was to explore the relationship between the nutritional knowledge, nutritional status, and sociodemographic factors of high school students in Uttara, Bangladesh. A cross-sectional ...
  • 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 ...

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