Project Report: Recent submissions

  • Smart Retail Using Customer Loyalty & E-Invoice 
    Nafir, Md. Nattachiuj Jaman (Daffodil International University, 2024-07-13)
    As the retail landscape undergoes a paradigm shift towards digitalization and enhanced customer experiences, integrating customer loyalty programs and e-invoices into retail environments has become essential. This research ...
  • Enhancing Rice Pest Classification Through Machine Learning and Deep Learning Techniques 
    Akanda, Shawkat Uddin (Daffodil International University, 2024-07-13)
    The production of rice is essential to the world's food security, yet pests provide a constant danger and can result in large productivity losses. For efficient pest management techniques, rice pests must be identified ...
  • Smart Question Bank and Exam Model for Future Career Assesment 
    Fahim, Farjanur Rahman (Daffodil International University, 2024-07-13)
    This project study utilized A Smart question bank and exam model for future career assessment. The goal of this study is to improve future professional assessments through the creation and application of an online smart ...
  • Predictive Analysis of Temperature-Related Challenges in Bangladesh: 
    Hasan, Md Akil; Rahman, Md. Mostafizur (Daffodil International University, 2024-07-24)
    We are writing a paper based on the temperature in Bangladesh. Where we are working on a dataset from (2000-2022) that spans 23 years. We collected the data from NASA’s website(power data access viewer) [31] to help us ...
  • Exploring Deep Learning Architecture For Complex Hand Sign Language 
    Islam, Gazi Rashidul (Daffodil International University, 2024-07-13)
    This research paper describes how advanced deep learning methods were used to create a system that can recognise Bangla Sign Language (BSL). The goal of the project is to help the deaf people who speak Bangla communicate ...
  • Detecting Handwritten Bengali Mathematical Expressions Using Neural Networks 
    Ahsan, Md. Monjurul; Ahmad, Ishan (Daffodil International University, 2024-07-13)
    The problem of handwritten numerical expression recognition in languages such as Bengali is not well studied in machine learning, even though research on handwritten equations is well known. This work presents a thorough ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Arabic Alphabet and Surah Pronunciation Corrections Using Deep Learning 
    nahar, Faijun (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-07-14)
    The development of automatic speech recognition systems for Arabic presents unique challenges, particularly due to the complexities of Classical Arabic, which has been underrepresented in research. Proper pronunciation of ...

Search DSpace


Browse

My Account