Project Report: Recent submissions

  • Translating the silent language: sign-to-character conversion in Bangla 
    Nory, Nusrat Jahan; Sumi, Aysha Akter (Daffodil International University, 2024-07-24)
    The number of people who are deaf and mute on the planet is alarmingly increasing. Approximately 2.6 million people in Bangladesh are unable to communicate withothers through language. This research investigates the ...
  • House price prediction in Dhaka using Machine Learning Algorithm 
    Ferdous, Jannatul; Akter, Tania (Daffodil International University, 2024-07-24)
    This study investigates the application of various machine learning models for predicting house prices using a dataset sourced from Bproperty, which includes 598 entries and seven attributes: Address, no. of bedrooms, ...
  • Deep Learning Techniques for Automated Detection of Diseases in Guava Fruits and Leaves 
    Hossain, Md. Tanbir; Abir, Mirza Md. (Daffodil International University, 2024-07-24)
    The "Deep Learning Techniques for Automated Detection of Diseases in Guava Fruits and Leaves" research project aims to revolutionize guava farming by creating an automated system for early disease identification. By ...
  • Classification of Bangladeshi Regional Language Using Machine Learning And Deep Learning 
    Mia, Yeasin; Tanvir, Sakhaoyat Ullah (Daffodil International University, 2024-07-24)
    The goal of this project is to reliably detect linguistic variants and dialects by classifying regional languages spoken in Bangladesh using machine learning (ML) and deep learning (DL) techniques. The dataset has 3000 ...
  • Determining the factors influencing of mobile learning 
    Margia, Kazi Sultana (Daffodil International University, 2024-07-24)
    The huge and rapid development of mobile devices as well as information and communication technology has resulted for modern technology that is Mobile Learning. The prevalence of mobile learning is becoming commonplace ...
  • Dhaka air pollution prediction using machine learning approaches 
    Akter, Kazi Afsana (Daffodil International University, 2024-07-24)
    Air pollution is crucial for the health of both humans and animals because it has been connected to a number of deadly illnesses, including cancer. Nonetheless, a lot of industries, ships, farms, and housing contribute ...
  • Utilizing histopathological images to determine oral squamous cell carcinoma with deep convolutional neural networks 
    Sajib, Md.; Farshiart, Nilem (Daffodil International University, 2024-07-24)
    One common kind of head and neck cancer that is typically identified at an advanced stage and has few treatment choices and a poor prognosis is oral squamous cell carcinoma (OSCC). Improving patient outcomes requires ...
  • Sentiment Analysis to Improve Product Marketing Strategies 
    Orpan, Oalid Hassan (Daffodil International University, 2024-07-13)
    In the whole world, the platform of social networking have become a vital part for expressing feelings because of the swift growth in the digital age. Most of the people convey their feelings by using textual content, ...
  • Classification Of Rice Leaf Disease Through Image Analysis And Deep Learning 
    Shakib, Md Nazmus (Daffodil International University, 2024-07-24)
    This work presents a comprehensive deep learning method for precise and effective disease prediction of rice leaves. With Convolutional Neural Networks (CNN), I developed a model that outperforms conventional methods for ...
  • Enhancing Home Rental Services with Seamless Healthcare and Transport Solution. 
    Hossen, Redul; Ullah, Md. Sifat (Daffodil International University, 2024-07-24)
    The primary objective of this project is to bridge the gap between landlords seeking tenants and individuals searching for rental properties. By focusing on delivering a user-centric platform, this project aims to ensure ...
  • Intelligent traffic management: 
    Moon, Md. Mahmudul Hasan (Daffodil International University, 2024-07-24)
    The efficient management of modern traffic systems increasingly relies on automated technologies for real-time vehicle detection. This research article studies the development of an intelligent traffic management system, ...
  • A web based mental health care platform to provide convenient and personalized service for citizen of Bangladesh 
    Kundu, Durjoy; Alam, Shakirul (Daffodil International University, 2024-07-24)
    “Mind Bridge: An online mental health care platform”, is a web application. In recent years, the global awareness surrounding mental health issues has heightened, accentuating the necessity for comprehensive and easily ...
  • Sentiment analysis of AR and VR in multiple sectors using user experience from social media 
    Rahman, Mahmudur (Daffodil International University, 2024-07-24)
    Augmented Reality (AR) and Virtual Reality (VR) technologies are revolutionizing how we engage with digital content, providing new experiences in gaming, entertainment, and beyond. Understanding users' opinions and ...
  • Reflect of 3d brain tumor segmentation and classification 
    Islam, Anika (Daffodil International University, 2024-07-24)
    This comprehensive study delves into the potential of advanced deep learning techniques for the critical task of segmenting and classifying brain tumors from magnetic resonance imaging (MRI) scans. The research employs ...
  • Gastrointestinal disease detection using multiclass CNN from endoscopy images 
    Munsi, Md. Mamun (Daffodil International University, 2024-07-24)
    Gastrointestinal diseases refer to diseases of the gastro intestinal tract and include; gastro esophagitis, ulcerative colitis, gastric lesions among others. These diseases are best diagnosed at an early stage, and ...
  • Dragon fruit stem disease classification using deep learning techniques 
    Abdullah - Al - Noman, Md. (Daffodil International University, 2024-07-13)
    Dragon fruit is one of the highly valued economic and nutraceutical fruits produced in the tropical regions. However, the cultivation of dragon fruit is often affected by several stem diseases that if not controlled on ...
  • Application of quantum CNN empowered a brain app to detect a brain tumor 
    Mira, Maherunnesa; Rimi, Afroza Sultana (Daffodil International University, 2024-07-13)
    High rates of sickness and death from brain tumors make them a major public health problem. This shows how important early discovery and correct classification are for effective treatment. Traditional ways of diagnosing, ...
  • Detection of maize leaf disease using machine learning 
    Khan, Moshiur Rahman (Daffodil International University, 2024-07-13)
    This research investigates the development and optimization of Convolutional Neural Network (CNN) models to accurately detect maize leaf diseases. Utilizing a comprehensive dataset sourced from Kaggle, My target common ...
  • Telecommunication fraud detection by analyzing the content of a Bangla phone call 
    Uzzal, Safiqul Islam (Daffodil International University, 2024-07-13)
    Telecommunication fraud, especially through techniques like phishing calls, poses a significant threat, resulting in substantial financial losses and compromising sensitive personal data. While technological advancements ...
  • Real-time face recognition and prevent unauthorized entry on campus using pre-trained models and opencv 
    Sakib, Md. (Daffodil International University, 2024-07-13)
    Biometrics, involving the analysis of human behavior and characteristics, has become instrumental in enhancing security measures. This paper explores the various approaches employed in face recognition, a pivotal biometric ...

Search DSpace


Browse

My Account