2023: Recent submissions

  • Hospital Management System 
    Mohammad Tuhin; Md Khalid Hasan; Md. Touhidul Islam (Department of CSE, BUBT, 2023-06)
    Introducing Our Hospital Management System (HMS): A user-centric and dynamic web-based platform designed to revolutionize healthcare accessibility. Our project's primary focus is to develop a comprehensive hospital website, ...
  • IoT Based Human Health Monitoring and Automation system for Hospital 
    Hossain md Nasrullah; Meher Afzan Mehnaz; Md Ali Akbar; Md Imran Ali mondol; Md Abdur Rahman Rayhan (Department of CSE, BUBT, 2023-06)
    To design this IoT based health monitoring and automation system we use here IoT Platform named Blynk. This application is used here to monitoring and controlling of our total system. In this system we used here different ...
  • Bangla Hand Sign Recognition Using HANDCNN Model for Multi-Hand Sign Datasets 
    Md. Oli Ullah; SM Nuruzzaman Nobel; Omar Faruque Sifat; Arnob Shariar; Ferdous Mostafa Meem (Department of CSE, BUBT, 2023-06)
    Hand sign recognition is an emerging field in computer vision that focuses on understanding and interpreting gestures made by human hands. This technology plays a crucial role in various applications, including sign language ...
  • Bangla Hand Sign Recognition Using Machine Learning 
    Fahim Hossen; Golam Mowla Joy; Tahsina Najnin; Al Imran Abir; Zarif Bin Zakir (Department of CSE, BUBT, 2023-06)
    Bangla hand sign recognition is an emerging field in computer vision and machine learning that aims to bridge the communication gap between individuals with hearing and speech impairments and the general population. This ...
  • Mango Leaf Disease Analysis Using CNN 
    Bhakti Ranjon Roy; Sourav Kumar Roy; Jamiul Haque Jamy; Shipul Roy; MD. Tamim Hasan (Department of CSE, BUBT, 2023-06)
    Mango is an economically significant tropical fruit, vulnerable to various diseases that can significantly impact yield and quality. In this study, we propose a mango leaf disease analysis system using Convolutional Neural ...
  • Bangla Fake News Detection Using Machine Learning Algorithms 
    Sadia Afrin; Md. Masudul Islam Asif; Md. Tahmid Hossain Rasel; Tahmina Akhter; Jannatul Ferdous Tonni (Department of CSE, BUBT, 2023-06)
    In our present era, where the internet is pervasive, everyone relies on many online news sources for information. News quickly disseminated among millions of people within a relatively short time due to the increase in the ...
  • Online Hospital Management System (OHMS) 
    Tasnia Tahsin; Md Habibur Rahman; Ismat Ara (Department of CSE, BUBT, 2023-06)
    Our main focus is design an Online Hospital Management System (OHMS) that will improve hospital experience for both patients and the hospital authorities. The whole system will run on internet. Our project OHMS includes ...
  • Find Tools (E-commerce Website) 
    Md. Amir Khosru; Md. Topu Raihan Robin; Al Amin Hossen (Department of CSE, BUBT, 2023-06)
    The purpose of this project report is to present the development process and outcomes of the Find Tools E comm erce Website. The website was built using JavaScript, React, Visual Stud io Code, and Node.js. This report ...
  • E-Commerce Website 
    Soyed Imran Hossain; Md Sohel Rone; Rukhsana Haque (Department of CSE, BUBT, 2023-06)
    We live in a fast-paced world, where the internet is the most important aspect of life. You can even conclude the internet is one of the basic needs of people’s day-to-day needs. The main use of the internet belongs to two ...
  • Sea Animal Classification Using Deep Learning and CNN 
    Farhana Amir; Md.Emon Ali; Mosraful Habib; Moinul Islam; Sifat Jahan Munia (Department of CSE, BUBT, 2023-06)
    Artificial intelligence developments can substantially help with this difficult challenge. of classifying different species of sea animals based on their visual characteristics. With the use of convolutional neural ...
  • School Management System 
    Md. Riad Ahmed; Thawhidul Bepari; Abu Sahadat Md. Hossain (Department of CSE, BUBT, 2023-06)
    The School Management System is an integrated software solution designed to streamline and automate various administrative and academic processes within educational institutions. This system aims to improve efficiency, ...
  • Plant Leaf Disease Detection using CNN and VGG-16 
    Md. Moniruzzaaman Mithun; Fazle Rabby Rohan; Fatema Hassan; Shuvro Kanti Roy; Udoy Kanti Roy (Department of CSE, BUBT, 2023-06)
    This paper focuses on creating a model that works better in our native tongue for generation captions from the images because it would be applied to any website or app and is easy to use even by blind people. Moreover, ...
  • Handwritten Character Recognition 
    Tanjila Monjur Nahin; Kaniz Fatima; Nilima Mahmud Suchana; Md.Mahmudul Hasan; Md.Hasibul Hossain Sabbir (Department of CSE, BUBT, 2023-06)
    In the past few decades, Deep Learning has proved to be a very powerful tool because of its ability to handle large amounts of data. The interest to use hidden layers has surpassed traditional techniques, especially in ...
  • Hand Gesture Control Robot Using Arduino Module 
    MD. Mahfuzur Rahman Shovon; MD.Nayeem Hossain; Nizum Daru; Shahnaj Sultana Bithi; Mehebub Shanjid Anik (Department of CSE, BUBT, 2023-06)
    Advances in speed and adaptability have made robotic system automation a reality. The importance of robots and automation in the fourth industrial revolution cannot be overstated. Moving anything has always required some ...
  • Medical MRI Image Segmentation to Enhance Tumor Treatment Using Deep Learning 
    Md. Abdul Baten; Md.Alif-Ur Rahman; Emran Hossain; Reza Mia; Khandoker Maliha Fairuz (Department of CSE, BUBT, 2023-06)
    Segmentation of brain tumor images is one of the most essential and challenging tasks in the field of medical image processing, as human-assisted manual categorization can lead to erroneous prognosis and prediction. ...
  • A Comparative Analysis of Machine Learning and Deep Learning for Detecting and Classifying Mango Leaf Diseases 
    Hasan Al Mahmud; Al Shahriar Emon; Hashibur Rahman Redoy; Rifatul Islam; Tanvir Hossain Khan (Department of CSE, BUBT, 2023-06)
    The rapid advancement of machine learning (ML) and deep learning (DL) techniques has opened up new avenues for automated disease detection and classification in agricultural settings. This paper presents a comprehensive ...
  • A Reinforcement Learning Approach to Adaptive Traffic Signal Management 
    S M Masfequier Rahman, Swapno; Asraful Islam; Shoheb Nur Asif; Rasel Mahmud (Department of CSE, BUBT, 2023-05)
    Traffic monitoring and control, as well as traffic simulation, still have major unsolved challenges, despite extensive research efforts, especially on artificial intelligence approaches to overcome these problems. Introduces ...
  • Traffic Congestion Detection Using Machine Learning and Deep Learning 
    Mahedi Hasan Rasel; Hitesh Chakraborty; Shadia Jahan Mumu; Md Mahmudul Hasan; Sadia Afrin (Department of CSE, BUBT, 2023-06)
    Today, one of the nation’s biggest issues and one from which the people suffer greatly is traffic congestion. For individual passengers, business sectors, and governmental organizations, accurate and timely traffic flow ...
  • Predicting House Price Using Cat Boost Based machine learning model 
    T. M. Ahkam - Ul - Haque Bhuiyan; Anu, Anamika; Adnan Iqbal; Saznin Ateka Smrity; Siddique, Mehnaz Khanam (Department of CSE, BUBT, 2023-06)
    Predictive models for determining the “Predicting House Price Using Cat Boost Based machine learning Model” remaining as more challenging and tricky task. The sale price of properties in cities depends on a number of ...
  • Web Application- “COVID19 Testing Management System” 
    Aktaruzzaman; Md. Sazzad Hossian (Department of CSE, BUBT, 2023-06)
    The COVID-19 Test Management System is a software application designed to efficiently manage and streamline the process of COVID-19 testing. It provides a comprehensive set of features to support the entire testing workflow, ...

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