Project Report: Recent submissions

  • A robust deep learning approach for knee osteoarthritis disease classification 
    Fahim, Md. Abrar Farhan (Daffodil International University, 2024-07-24)
    Knee osteoarthritis (KOA) is a primary cause of chronic pain and impairment that greatly reduces the quality of life for those who have it. Precise categorization of KOA is crucial for efficient diagnosis, formulation ...
  • An NLP-Based Intelligent Model Approach for Suicidal Tendency Classification 
    Salim, Syeed Hasan (Daffodil International University, 2024-07-24)
    Suicidal ideation not only drives a person towards suicide but also helps to commit suicide. Statistics reveal a gradual increase in suicide-related deaths worldwide. This poses a significant threat to both our current ...
  • Class helper– an educational hybrid application 
    Hasan, Md. Moynull (Daffodil International University, 2024-07-13)
    The Class Helper app addresses the numerous hurdles observed in traditional classroom settings, ranging from learners' lack of focus to the problems faced by those with hearing impairments. Developed on the Flutter ...
  • Melanoma Skin cancer Detection Using Deep Learning 
    Akter, Eshita; Mia, Md.Likhon (Daffodil International University, 2024-07-13)
    The malignant alteration of melanocytes is a characteristic of melanoma skin cancer, aserious and sometimes lethal illness. In this field, deep learning models have becomeindispensable for accurate and timely detection. ...
  • A Multi-Perspective Approach Utilizing Supervised Machine Learning Algorithms for Effective Social Media Bot Detection 
    Talukder, Abu Saleh Muin (Daffodil International University, 2024-07-13)
    This research presents a comprehensive exploration of social media bot detection, focusing on Instagram, Twitter, and TikTok platforms. Social bots are autonomous machines that create for social media platforms. In this ...
  • Mushroom Classification Using Deep Learning 
    Lotif, Abul Kalam (Daffodil International University, 2024-07-24)
    As a useful and diverse part of ecosystems, mushrooms are important in many areas, such as the gastronomic, medicinal, and environmental. To classify 6000 photos of mushrooms from various species, this study uses deep ...
  • Analysis the dengue patients increasing rate in Bangladesh based on weather by using machine learning models 
    Saha, Dipa Rani (Daffodil International University, 2024-07-24)
    Dengue virus is created in the medium of Aedes mosquito. Because the virus is more prevalent in tropical areas and people are more affected, people in these areas should be aware of it as a health concern and have effective ...
  • A smart vat calculation software for a super shop 
    Hasan, Md. Kamrul (Daffodil International University, 2024-07-13)
    An effective and user-friendly platform called "A SMART VAT CALCULATION SOFTWARE FOR A SUPER SHOP" was created to simplify Super Shop administration. The software reduces manual errors and increases operational efficiency ...
  • Tori: 
    Tayeb, Abu (Daffodil International University, 2024-07-13)
    Tori is a user-friendly boat ticket management system designed for easy navigation and a smooth experience. Tori allows users to quickly browse, select and purchase boat tickets through a simple and intuitive interface. ...
  • Deciphering the impact and evolution of gaming in everyday life: a machine learning centric analysis. 
    Hossen, Md. Tamim (Daffodil International University, 2024-07-15)
    This study explores the complex interrelationships between gaming and everyday life, looking at how these interactions social dynamics, and cognitive capacities. The lines separating reality from virtual experiences have ...
  • Shopping comanion: smart recommendation for your home grocery 
    Ali, Md. Beplob (Daffodil International University, 2024-07-15)
    The paper presents the development of a personalized recommendation system for Beplob Mart, an e-commerce website. The system leverages Matrix Factorization (MF), a collaborative filtering technique, to recommend products ...
  • An advanced convolutional neural network for skin disease detection 
    Shamonti, Shanjana Tanjim; Roy, Anamika (Daffodil International University, 2024-07-15)
    This study refers to an advanced convolutional neural network (CNN) approach for detecting skin diseases, with a focus on distinguishing between cancerous and noncancerous conditions. Using Kaggle's 'Melanoma Skin Cancer ...
  • Design and implementation of web based website: automated portfolio creation 
    Khan, Md. Mursalin; Nihal, Nabir Hossain (Daffodil International University, 2024-07-13)
    Portfolio Builder is a new generation web-application which is aimed at providing effective tools for professional portfolio construction and job search as well as job application. To aid the users in this selection, ...
  • Vehicle Number Plate Detection Using Deep Learning Technique 
    Hossain, Md. Asif; Masba Ur Rahaman, Md. (Daffodil International University, 2024-07-13)
    This paper introduces an Automatic License Plate Detection (ALPD) system, incorporating You Only Look Once version 8 (YOLO v8) for real-time object detection and OpenCV for efficient image processing. With a focus on ...
  • Blockchain Revolution: 
    Saha, Rudro (Daffodil International University, 2024-07-15)
    This study addresses the use of blockchain technology to enhance the pharmaceutical supply chain in Bangladesh, handling significant challenges including product quality and fake medicines. The analysis of the literature ...
  • Grocery E-Commerce Website: Mj-Kachabazar 
    Limon, Md. Mehedi Hasan (Daffodil International University, 2024-07-13)
    The e-commerce platform www. mj-kachabazar.com Doing other necessary products and as re-connecting the district of Manikganj with the basic and easy means of shopping with the platform of https://www.mjkachabazar.com ...
  • Lrmc-deeplabv3+: multiclass leaf disease semantic segmentation based on an improved deeplabv3+ network 
    Onti, Nausin Shadia; Mim, Tabassum Islam (Daffodil International University, 2024-07-13)
    The accurate and efficient segmentation of plant diseases is the key to sustaining plant growth quality and identifying disease severity. Unfortunately, many current plant disease segmentation techniques frequently fall ...
  • LRMC-DeepLabV3+: Multiclass Leaf Disease Semantic Segmentation Based On An Improved DeepLabV3+ Network 
    Mim, Tabassum Islam; Onti, Nausin Shadia (Daffodil International University, 2024-07-13)
    The accurate and efficient segmentation of plant diseases is the key to sustaining plant growth quality and identifying disease severity. Unfortunately, many current plant disease segmentation techniques frequently fall ...
  • Identification of Medicinal Plants Using Deep Transfer Learning 
    Baral, Saurav; Saha, Shithi Rani (Daffodil International University, 2024-07-13)
    This thesis explores the identification of medicinal plants in Bangladesh through images of plant leaves using deep transfer learning. The primary aim of the study was to find the best and less time-consuming procedure, ...
  • A proposed deep learning architecture for detecting dragon fruit disease 
    Alam, Mahbub; Rahman, Shazedur (Daffodil International University, 2024-07-14)
    Diseases have remained as one of the major issues affecting dragon fruit production due to its susceptibility to infections. The framework of this research work is the use of a deep learning technique for an assessment ...

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