Faculty of Science and Information Technology: Recent submissions

  • Online Job Portal System 
    Emon, Md. Atik Hossain (Daffodil International University, 2024-01-01)
    The Online Job Portal System I named it Nightingale Jobs presented in this project is a comprehensive online platform aimed at revolutionizing the job-seeking and recruitment process. Leveraging PHP, CSS, and SQL ...
  • Depression prediction among student based on their daily activities 
    Pranty, Miskatun Ahmed (Daffodil International University, 2024-01-01)
    Depression affects most people in modern life. Inadequate treatment even leads to many people taking their own lives. Early detection and treatment of depression in patients are very easy to achieve. We are unable to ...
  • Machine learning based prediction of Dengue Risk Zones In Bangladesh based on weather data 
    Ahmed, K. M Riyad (Daffodil International University, 2024-01-01)
    This work proposes a unique method for identifying dengue risk zones in Bangladesh using machine learning algorithms and large weather data. Dengue fever, a mosquito-borne illness that is common in tropical areas, has a ...
  • Smart Poultry Farm using Internet of Things and Machine Learning Project Research based project 
    Rifat, Tabibur Rahman (Daffodil International University, 2024-01-01)
    This paper offers a detailed investigation into poultry health monitoring utilizing an Internet of Things (IoT) platform and Machine Learning (ML) approaches. This article offers a detailed investigation into poultry ...
  • Deep Dive into Speech Privacy: Convolutional Neural Networks in Sensitive Content Detection 
    Zaman, Nafisa (Daffodil International University, 2024-01-01)
    Sensitive speech, encompassing hate speech, offensive language, and discriminatory remarks, has become a pressing issue in today's digital landscape. This research focuses on exploring the efficacy of Convolutional Neural ...
  • Nationality detection through Eye analysis 
    Shoumik, Shahib Islam (Daffodil International University, 2024-01-01)
    Biometric identification has become increasingly popular as technology progresses, especially with regard to facial and ocular recognition. The study investigates the use of deep learning methods more especially, the ...
  • WellTrackr: Revolutionizing fitness and wellness with an integrated full-stack web application 
    Alam, Md.Tasin (Daffodil International University, 2024-01-01)
    WellTrackr is a modern health and wellness tracker project that provides a complete and innovative solution to address the changing needs of the health and wellness sector. WellTrackr was conceived and created as a ...
  • Fashion style analysis and recommendation using Machine Learning & Deep Learning 
    Khatun, Habiba (Daffodil International University, 2024-01-01)
    Fashion has always been an essential feature of our daily routine. It plays an important role in everyone's life. Today, the impact of deep learning on computer vision applications is increasing every day. Deep learning ...
  • Lung-Cancer stage prediction using Machine Learning Approach 
    Patwary, Md Abdus Salam (Daffodil International University, 2024-01-01)
    Physical illnesses like lung cancer have become more common nowadays. The world nowadays is aware of the subject. The disease known as lung cancer affects most individuals. A measure of the sickness is the variations in ...
  • Developed Uttar Nakshi high school dynamic website 
    Hemal, Ahnaf Shariar (Daffodil International University, 2024-01-01)
    The Uttar Nakshi High School Website is a complete and innovative platform designed to transform the teaching and administrative procedures of Uttar Nakshi High School. As a final year project, this web-based system was ...
  • Machine Learning Approach to Predict the Quality of Drinkable Water from Different Sources 
    Tuz Jahura, Fatema (Daffodil International University, 2024-01-01)
    Machine learning (ML) is revolutionizing the field of aquatic environment research by offering advanced tools for analyzing, classifying, and predicting data. This study delves into the use of ML algorithms, particularly ...
  • Web-based classification of brain tumor using deep learning 
    Al Noman, Abdullah (Daffodil International University, 2024-01-01)
    Classification of brain tumors is one of the most crucial jobs in medical imaging, and deep learning models have shown promising outcomes when it comes to automation. We provide a thorough analysis of three deep learning ...
  • Detection of tomato leaves disease using CNN deep learning 
    Shalauddin, Md. (Daffodil International University, 2024-01-01)
    The output of tomatoes has increased in Bangladesh in the past few years. In addition to its nutritional benefits, tomato cultivation is important for the employment of many people. However, several illnesses that affect ...
  • Automated Grading of Grapes Fruits Based on Internal and External Quality 
    Jony, Juwel Rana (Daffodil International University, 2024-01-01)
    The harvesting time of fruits significantly affects their quality, flavor, and market value. Traditionally, this process relies on subjective human evaluation, which is both timeconsuming and subjective. However, a solution ...
  • Programming language preferences: a comprehensive survey of developer choices and trends 
    Uddin, Md. Kofil (Daffodil International University, 2024-01-01)
    This report presents an empirical examination aimed at uncovering the intricate landscape of programming language trends and their implications for software development. By utilizing statistical methods, this study ...
  • Identifying the research field of a scientific paper from the abstract using deep learning approache 
    Sarker, Sudipto (Daffodil International University, 2024-01-24)
    This study explores the application of deep learning to automate the identification of research fields within scientific paper abstracts. The goal is to create a resilient model that effectively categorizes the primary ...
  • Enhancing Lung Cancer Detection Through Deep Learning-Based Image Segmentation 
    Das, Avishek (Daffodil International University, 2024-01-21)
    This literature review provides a thorough examination of important works in the field of medical image analysis, with a special emphasis on the use of machine learning and deep learning algorithms for identifying lung ...
  • A Machine Learning Based Approach to Predict Cervical Cancer 
    Omar, Jubail Hossain (Daffodil International University, 2024-01-01)
    Recently, there has been a significant increase in the prevalence of physical illnesses, including cervical cancer disease, drawing considerable attention due to its impact on a large population. The severity of the ...
  • Design and development of a book lover community web application (Favebook). 
    Hasan, Abir (Daffodil International University, 2024-01-01)
    The online web based book lover community is an user-friendly and innovative platform that transform book lovers to demonstrate their opinion on a particular book, interact with the author and browse the particular book ...
  • Enhancing guava harvest forecasting in Bangladesh through supervised machine learning models 
    Munia, Sahela Khan (Daffodil International University, 2024-01-01)
    Accurate forecasting of guava harvest is essential for efficient resource allocation, market planning, and mitigating post-harvest losses. In Bangladesh, the guava industry faces challenges in predicting harvest yields ...

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