Project Report: Recent submissions

  • The Impact of Customer Demographics on Churn Rates in the Telecommunications Industry. 
    Abul Bashar, Muhammad (Daffodil International University, 2025-01-13)
    In this thesis, I aim to develop a machine learning model for predicting customer churn in the telecom industry, using data from major telecom operators in India, including Airtel, Reliance Jio, Vodafone, and BSNL. The ...
  • MediSense: Intelligent IoT Based Health Monitoring System for Personalized Care 
    Islam, Mst. Joyana (Daffodil International University, 2025-01-13)
    This research project addresses the pressing need for the development of advanced health monitoring systems capable of providing real-time and accurate tracking of vital signs. The primary objective is to design and ...
  • MediSense: Intelligent IoT Based Health Monitoring System for Personalized Care 
    Islam, Mst. Joyana (Daffodil International University, 2025-01-13)
    This research project addresses the pressing need for the development of advanced health monitoring systems capable of providing real-time and accurate tracking of vital signs. The primary objective is to design and ...
  • A Dataset for Detecting Intrusion in Software Defined Networking Infrastructures 
    Imran, Jahid (2025-01-13)
    Traditional networking works solely on the responsibility of hardwares (routers, switches) in moving the data between networks and calculating the routing table through various algorithms. Software Defined Network (SDN) ...
  • A Machine Learning Approach for Diabetes Prediction Using Ensemble Feature Selection and Hyperparameter Tuning. 
    Al-Mozahid, Md. (Daffodil International University, 2025-01-13)
    Early identification of diabetes is important for controlling the disease and avoiding problems. To improve the Predictive data mining of Diabetes prediction based on a dataset from Kaggle that focuses on diabetes, In this ...
  • Automated Acute Lymphoblastic Leukemia Detection Using Convolutional Neural Networks. 
    Raju, Md. Nurujjaman (Daffodil International University, 2025-01-13)
    This study investigates the performance of four widely used Convolutional Neural Networks (CNNs) MobileNetV2, InceptionV3, VGG16 and ResNet50 for disease classification tasks, leveraging transfer learning techniques. The ...
  • Buzz-Hub the easiest shopping platform 
    Washif, Kashfi; Ratul, Joy Mollik (Daffodil International University, 2025-01-13)
    In our country, there are a good number of e-commerce websites. Nowadays people’s interest on online shopping is increasing. But there are some issues what they are facing during online shopping like misbehavior of ...
  • SharePost 
    Bhuiyan, Md. Arif Billah (Daffodil International University, 2025-01-13)
    SharePost is a cutting-edge web program that gives users the chance to make money by creating and sharing posts, so empowering them. Anyone who wants to contribute may use this platform; all they have to do is register ...
  • Detection of Cotton Leaf Diseases Using Transfer Learning Techniques 
    Khan, Hafiz Ahmed (Daffodil International University, 2025-01-13)
    Cotton crop is among the leading source of income globally through its production is harmed by many diseases which attack the leaves. Identification of these diseases is a tedious, cumbersome, and prone to a lot of errors ...
  • Classification of Okra Leaf Diseases Using Machine Learning 
    Ahmed, Md. Mahfuz (Daffodil International University, 2025-01-12)
    In precision agriculture, machine learning models are increasingly revolutionizing disease detection and management for crops. Recent advances in computer vision, particularly Vision Transformer (VIT) architectures, have ...
  • Library Management System 
    Lata, Tanjila Hafsa (Daffodil International University, 2025-01-13)
    The Library Management System modernizes the automation of conventional library operations. This thesis focuses on the creation and development of a learning management system (LMS) platform that satisfies the needs of ...
  • Rose Color Detection for Blind People's using Deep Learning 
    Mandal, Sajeeb (2025-01-13)
    This thesis presents the development of a mobile app-based solution for rose color detection designed specifically for visually impaired individuals. The solution leverages advanced Vision Transformer (ViT) architectures, ...
  • Comparison of Breast Cancer Prediction Using Machine Learning 
    Hasan, Md. Mehedi (Daffodil International University, 2025-01-12)
    Recent times, breast cancer has seen a concerning rise, affecting a significant proportion of women. To tackle this pressing issue, extensive research efforts have been dedicated to devising effective methodologies for ...
  • Comparison of Breast Cancer Prediction using Machine Learning 
    Hasan, Md. Mehedi (Daffodil International University, 2025-01-13)
    Recent times, breast cancer has seen a concerning rise, affecting a significant proportion of women. To tackle this pressing issue, extensive research efforts have been dedicated to devising effective methodologies for ...
  • A Customizable E-commerce Platform Tailored for Seamless User Experiences Using the MERN Stack. 
    Rahim, Md. Abdur (Daffodil International University, 2025-01-13)
    This project showcases a modern E-commerce platform built using the MERN stack (MongoDB, Express.js, React.js, Node.js), designed to deliver a seamless online shopping experience for users and comprehensive management ...
  • Optical Character Recognition (OCR) Using Tesseract.js 
    Miah, Md. Parvej (Daffodil International University, 2025-01-13)
    This project focuses on developing a web-based optical character recognition (OCR) system using Tesseract.js, a JavaScript library that allows extracting text from images in both client-side and server-side environments. ...
  • Snake Gourd Leaf Disease Detection Using Deep Learning 
    Nishat, Md Rifat Uddin; Setu, Sadia Afrin (Daffodil International University, 2025-01-12)
    This study explores a novel approach to identifying diseases in snake gourd leaves using advanced deep-learning techniques. The research focuses on five specific leaf conditions: Healthy, Powdery Mildew, Downy Mildew, ...
  • A Deep Learning Framework for Precision Plant Nutrient Status on Different Crops 
    Das, Aprantar; Mia, Md Hasan (Daffodil International University, 2025-01-12)
    Plant nutrient deficiencies can significantly impact agricultural productivity and crop quality, posing challenges for farmers in identifying and addressing these issues early. This project focuses on deep learning ...
  • Blood Cancer Diagnosis using Deep Learning: Enhancing Accuracy in Leukemia Detection 
    Sultana, Sabbira (Daffodil International University, 2025-01-13)
    Blood problems are frequently discovered by visual inspection under a microscope. It might help classify a number of blood-related disorders in order to facilitate the identification of different leukemia conditions. ...
  • An Innovative Smart Parking system 
    Faysal, Md Minhajul Abedin (Daffodil International University, 2025-01-13)
    Complete details of my concept, "An Innovative Smart Parking system," may be obtained in the accompanying results. This paper goes into great detail on the processes that helped transform the plan into a working website. ...

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