DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING: Recent submissions

  • Development of the web application property listing for real state for digital transformation 
    Razzak, Anfal Bin (Daffodil International University, 2024-01-01)
    The Real Estate is a comprehensive web application designed to streamline property transactions, enhance user experience, and facilitate efficient management for real estate professionals. The system employs robust ...
  • Developing a Machine Learning-Based Predictive Model for Early Sepsis Diagnosis Using Electronic Health Records 
    Ghosh, Chayon (Daffodil International University, 2023-12-01)
    Sepsis is a potentially fatal illness that needs to be identified quickly in order to enhance patient outcomes. Unfortunately, because of its non-specific symptoms, early detection can be difficult. Predictive models for ...
  • Real-Time Citrus Leaf Disease Detection Using Deep Learning Approach 
    Ashar, Nur Salek (Daffodil International University, 2024-01-01)
    The spectre of devastating citrus diseases looms large over global agriculture, threatening yields and food security. Early and precise detection is crucial to mitigate crop losses and ensure food security. This research ...
  • TLCommerce : An online shopping application 
    Khan, Md.Shibli-Uz-Zaman (Daffodil International University, 2024-01-01)
    TLCommerce is an innovative online shopping application created to promote a thriving shopping community where people can effortlessly order their beloved items. Shopping Lovers and others are continuously looking for ...
  • Face Recognition Based Attendance System Using Deep Learning Algorithm 
    Ferdous, Razayonoor Rahman (Daffodil International University, 2024-01-01)
    The Face Recognition Based Attendance System is an innovative advancement in attendance tracking, combining cutting-edge facial recognition technology with previously established methods. This system provides an effortless, ...
  • Classification of bird species using deep learning 
    Apu, Md Sharifuzzaman (Daffodil International University, 2024-01-01)
    Many bird species are rare to find these days, and even when they are, it might be difficult to classify them. For example, birds have different sizes, shapes, and colors depending on the situation, and they also have ...
  • Iot based fish farming and monitoring system 
    Summum, Reafat (Daffodil International University, 2024-01-01)
    Current human population is 7.8 million and the growth rate is around 1.05% per year hence food demand is also increasing accordingly. Globally 155 million tons of fish production is consumed by humans. Fish for human ...
  • Smart e-commerce shop 
    Panday, Biljeynedra Prosad (Daffodil International University, 2023-12-01)
    Revolutionizing the landscape of online retail, this e-commerce venture sets itself apart by redefining the very essence of digital product selling. Offering a sophisticated platform, it seamlessly integrates cutting-edge ...
  • A machine learning-based approach for predicting the impact of video games on youth 
    Das, Udoy (Daffodil International University, 2024-01-01)
    The abstract of the topic "impact of video games prediction on youth using machine learning" would succinctly summarize the key components of the research. This research explores the intersection of video games, youth ...
  • Body fat prediction using machine learning 
    Ahmed, Raju (Daffodil International University, 2023-08-01)
    This research paper presents the development and evaluation of machine learning algorithms for accurate and efficient body fat prediction. Three algorithms, namely linear regression, decision tree, and random forest, were ...
  • Safar - An Online Tour Management Portal 
    Al-Mamun, Abdullah (Daffodil International University, 2024-01)
    The project is like a tour management portal focused on local work based on our country. This project has been built for people with different choices, who love traveling, and those willing to provide different types of ...
  • Gourd Vegetable Detection by Deep Learning Approach 
    Akter, Kana (Daffodil International University, 2024-01-29)
    The local market in Bangladesh offers a diverse range of around 100 varieties of vegetables for purchase and sale. The nomenclature of vegetables exhibits regional variations, leading to difficulties in identification ...
  • Paddy Yield Estimation By Deep Learning Approach 
    Islam, Ashraful (Daffodil International University, 2024-01-29)
    Three crucial crops in Bangladesh are farmed concurrently based on the country's climate and seasons. The individuals mentioned are Aush, Aman, and Boro. Various sorts of damage occur in Bangladesh at different times as ...
  • Local Spinach Variant And Freshness Detection Using Deep Learning Techniques 
    Hasan, Md.Nahid (Daffodil International University, 2024-01-29)
    The study addresses the use of deep learning to automate the recognition of local variations of spinach and the evaluation of their freshness, addressing key challenges facing the agriculture industry. The study carefully ...
  • Vromon – Web Based Travel Management System (Tms) 
    Sarker, Arnob (Daffodil International University, 2024-01-29)
    The sophisticated and user-friendly Web-based travel management system (TMS) "Vromon" was created with three main stakeholders in mind: system administrators, organizers, and customers—all of whom want to travel more ...
  • Using Deep Learning To Predict Paper Categories Based On Abstracts 
    Nahid, Syed Ahsanul Huque (Daffodil International University, 2024-01-29)
    Academic paper categorization is a criticalstep in the field of information retrieval and information processing. This paper “USING DEEP LEARNING TO PREDICT PAPER CATEGORIES BASED ON ABSTRACTS” proposes a novel approach ...
  • Deep Learning for Detection of Mango Leaf Disease: A Comparative Study Using Convolutional Neural Networks Models 
    Rabbi, Munshi Omar Faruque (Daffodil International University, 2024-01-29)
    The diagnosis of diseases in mango leaves presents a complex challenge, compounded by the diversity of crop types, variability in agricultural disease indicators, and a multitude of environmental factors. Early detection ...
  • A Proposed Deep Learning Approach For Detecting Rice Leaf Disease 
    Bhuyan, Md Raju (Daffodil International University, 2024-01-29)
    Rice leaf diseases are a type of plant diseases affecting the leaves of rice crops, causing various kinds of crop damage. These diseases may have major financial effects, hurting both rice quality and production. Using ...
  • Study On Adoption M Payments System Using Smartpls 
    AZAD, A.S.M. SHAHORIA (Daffodil International University, 2024-01-29)
    Globally, mobile payment is becoming more and more popular as a substitute for cash, checks, and credit cards, both for individuals and businesses. The main goals of this research are to identify the key variables affecting ...
  • Facial Expression Recognition of Pets Using Deep Learning 
    Rafi, Muntasir Ahmed (Daffodil International University, 2024-01-29)
    Understanding the emotional states of pets is a significant aspect of their well-being and effective communication between humans and animals. This research investigates the development of a deep learning-based system ...

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