Project Report: Recent submissions

  • Images-based skin disease recognition using a deep learning approach. 
    Bhuiyan, Md. Sazzadur Rahman (Daffodil International University, 2024-07-24)
    Skin illnesses are common and varied, resulting from a range of causes including viral agents, allergies, bacterial infestations, and fungal infections. Even if advances in medical technology, especially in optics and ...
  • Detecting mango leaf diseases using deep learning: 
    Sarkar, Saurav (Daffodil International University, 2024-07-24)
    Mango leaf diseases suffer from a multiple challenge in diagnosis due to different types of crops, changing agronomic disease indices and several environmental factors that influence them. It is still hard to detect them ...
  • Deep Learning-Based Classification of Bangladeshi Vegetables 
    Rifat, Rahmat Ahmed (Daffodil International University, 2024-07-13)
    Vegetables are an important aspect of daily living for humans and animals, with around ten thousand plant species classified as vegetables globally. Roughly fifty species are economically relevant. Proper identification ...
  • Bangladeshi Shrimp Species Recognition By Deep Convolutional Neural Network 
    Ahmmed, Md. Sujan (Daffodil International University, 2024-07-13)
    Shrimp, the most popular shellfish in Bangladesh, is rich in a variety of nutrients, giving it a great nutritional value. Some examples of such substances include iodine, protein, minerals, and vitamin D. This shellfish ...
  • Predicting Future Change of Seasonal Rainfall and Temperature in Bangaldesh Using Machine Learning Models 
    Tabassum, Nujhat (Daffodil International University, 2024-07-13)
    Understanding the dynamic shifts in rainfall and temperature holds immense significance for countries like Bangladesh grappling with critical climate conditions. Natural disasters such as floods, droughts, and cyclones ...
  • A Transfer Learning-Based Approach Allium Sativum Disease Recognition and Classification 
    Hossain, Md. Ikramul (Daffodil International University, 2024-07-13)
    Allium Sativum is a widely used spice noted for its culinary, medical, and spiritual purposes, including its roles as an antibacterial, anti-thrombotic, and antineoplastic agent. It has been integral to human civilization ...
  • Paradigm of YOLO: 
    Samsuddoha, Md. (Daffodil International University, 2024-07-13)
    Efficient along with precise identification of plant diseases can significantly enhance agricultural productivity and overall crop yield, particularly for lemon trees and their foliage.[24] Algal Leaf Spot, Black spot, ...
  • Vaxcentral: 
    Saki, Husni Ara Kabir; Mandal, Shawon (Daffodil International University, 2024-07-13)
    The project we proposed “VaxCentral '' is a web application which is designedtorevolutionize the vaccination process of our country by using the power of digital technology. With this application we hope for a more ...
  • Tongue disease recognition using deep learning 
    Ghosh, Urmi (Daffodil International University, 2024-07-13)
    The tongue is extensively involved in several vital functions, such as taste, speech, eating, swallowing, and oral hygiene. the importance of maintaining the health of the tongue, this "Tongue Disease Recognition Using ...
  • IOT based advance health monitoring system 
    Konok, Jannatul Ferdous (2024-07-13)
    The establishment of imaginative and efficient patient monitoring systems has been made conceivable by the Internet of Things (IoT), which has radically altered the healthcare industry. The paper introduces an Internet ...
  • The Classification Of Vegetables and Fruits Using Deep Learning 
    Siam, Md. Shadman Sakib (Daffodil International University, 2024-07-13)
    In this paper, an attempt is made to accurately classify vegetables and fruits. This classification uses a dataset of 6000 photos divided into 15 classes. Convolutional neural networks, a type of deep learning algorithm, ...
  • Early melanoma skin cancer detection by processing dermoscopic images using traditional deep-learning models 
    Hossain, S. M. Maruf; Arefin, Junayed (Daffodil International University, 2024-07-13)
    Skin cancer is one of the most dangerous health issues in the world. A huge number of people are affected every year. There are three types of skin cancer, and the most common one is melanoma, which is also the most ...
  • Mango leaf disease detections using deep learning models 
    Masfia, Marjana (Daffodil International University, 2024-07-24)
    The detection and classification of diseases affecting mango leaves are critical for maintaining crop health and ensuring optimal yield. Manual inspection methods are often time-consuming and prone to human error, ...
  • Design and Development Task Management Web Application. 
    Islam, Tohidul (Daffodil International University, 2024-07-13)
    In the rapidly evolving digital workspace, efficiency and productivity are paramount. This report delves into the development and implementation of “Design and Development Task Management Web Application” designed to ...
  • Classification of Ornamental Fishes in Bangladesh 
    Suchi, Ananna Saha; Jahid, Md. Saif Ibne (Daffodil International University, 2024-07-13)
    There is a fascinating variety of decorative fish species hiding in Bangladesh's waterways, each with its own color and pattern scheme. This thesis sets out on an intensive expedition to discover the mysteries of these ...
  • Revolutionizing Local Duck Species Classification: An Integrated Approach using Image Processing and Transfer Learning 
    Das, Joy (Daffodil International University, 2024-06-24)
    Ducks in Bangladesh are an integral part of the country’s biodiversity. Ducks play significant role in both ecological balance and local livelihood. Duck meat is a rich source of protein. There are somewhere 6-7 duck ...
  • Improving analysis of Bengali speech with convolutional neural networks 
    Taher, Abu (Daffodil International University, 2024-07-24)
    Speech classification is a crucial task in various applications, such as speech recognition and speech analysis. CNNs have shown remarkable success in speech classification tasks for different languages. This research ...
  • Transforming tomato agriculture: a comparative analysis using transfer learning approach for tomato leaf disease detection 
    Islam, Md. Rabiul (Daffodil International University, 2024-07-24)
    The fundamental purpose of this research-based project explores the frontier of tomato leaf detection disease using deep learning, leveraging cutting-edge technologies in the deep learning to address the challenges posed ...
  • Comparative Analysis of Deep Learning Models for Enhanced Diagnosis of Keratoconus: Unveiling the Efficacy of MobileNetV2, VGG16, and InceptionV3 
    Raihan, Ashik (Daffodil International University, 2024-07-24)
    This study aims to explore the efficacy of convolutional neural networks (CNNs), a deep learning methodology, in the early diagnosis of keratoconus, a severe corneal disorder with potential to lead to blindness. Predominantly ...
  • Towards improving online education system in Bangladesh using machine learning approach 
    Refat, Md. Ashik Billah (Daffodil International University, 2024-07-24)
    In this rapid advancement of technology online education has come out as an alternative to traditional classroom based learning systems especially in the contexts like Bangladesh. While Bangladesh embraced online education ...

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