Project Report: Recent submissions

  • Food review sentiment analysis by FastText and machine learning approach 
    Hasan, Md. (Daffodil International University, 2024-01-24)
    The purpose of this project is to investigate the use of sentiment analysis techniques to analyze food evaluations that are written in the Bengali language and posted on online delivery platforms in Bangladesh. On the ...
  • Product review sentiment analysis by text vectorization and machine learning 
    Al - Amin, Md. (Daffodil International University, 2024-01-25)
    In Bangladesh, online marketing and e-commerce businesses have prospered in the age of Internet technology. Online shopping has taken over as the primary method of shopping during periods when people are restricted because ...
  • Design and development of an android e-commerce mobile app: “Medulshop-BD” 
    Medul, Md. Arafat Rahman (Daffodil International University, 2024-01-25)
    Today we live in modern world. With the use of high-speed internet and some modern software or applications, our life has now become several times easier than before. Now we can do office from home, order food from home, ...
  • A deep learning based text summarization process 
    Biswas, Binti (Daffodil International University, 2024-01-22)
    Technological innovation has greatly improved our quality of life. But people's attention spans are getting shorter and people want to read for shorter periods of time at a rapid pace. Because of this, it's crucial to ...
  • Product purchasing sentiments analysis for monitoring cosmetic brands and beauty products based on user feedback in Bangladesh 
    Mawa, Jannatul (Daffodil International University, 2024-01-25)
    My research delves into the dynamic realm of consumer preferences in cosmetics, employing a data-driven approach to unravel patterns and insights in this multifaceted industry in Bangladesh. The study centers on the ...
  • Accidental prone area detection in Dhaka metropolitan city using machine learning models 
    Jerin, Foyjunnesa (Daffodil International University, 2024-01-25)
    Dhaka, known for its status as one of the world's most densely populated areas, grapples with numerous challenges associated with urbanization and safety. This study focuses on identifying accident-prone zones within the ...
  • Forecasting house rents in Dhaka city with machine learning 
    Fahad, Dewan Abdullah (Daffodil International University, 2024-01-25)
    Bangladesh's capital city of Dhaka is become increasingly congested due to daily migration. They come to Dhaka for reasons like they have no money, looking for work, or sometimes because their families want them to shift ...
  • Sentiment analysis of comments on the Israel-Palestine conflict and showing geopolitical stance distribution 
    Sharkar, Md. Emon (Daffodil International University, 2024-01-25)
    Sentiment analysis has kept its landmark in Natural Language Processing by analyzing the text to extract sentimental value. The result usually goes with positive, negative, or neutral sentiment with necessary data ...
  • Bangladeshi local fish detection using deep learning techniques 
    Samiu, Asrafilil (Daffodil International University, 2024-01-26)
    This study uses deep learning techniques to provide a novel method for local fish understanding in Bangladesh. The following six native fish species are represented in the extensive dataset that was painstakingly gathered: ...
  • Development of a web application named "Bloodbd" 
    Limon, A.Y.M Mahady Hasan (Daffodil International University, 2024-01-25)
    The "BloodBD" project is an innovative endeavor in the blood donation management space, designed to enhance the communication between healthcare facilities and donors. By addressing the intricate problems with the blood ...
  • Spam text detection by using ML Algorithm 
    Unknown author (Daffodil International University, 2024-01-25)
    Nowadays,the number of mobile users is always increasing. SMS stands for "short messaging service," which lets the users send and receive short text messages on regular phones as well as smartphones. The quantity of SMS ...
  • Identifying different types of roses using deep learning approaches 
    Kha, Partha (Daffodil International University, 2024-01-25)
    In horticulture, botanical study, and landscaping, accurate rose identification is critical. The ability to tell the difference between red, yellow, and white rose varieties benefits in the creation of visually pleasing ...
  • Project management information system using laravel framework 
    Hosen, Md. Shanto (Daffodil International University, 2024-01-25)
    I have been working on a web-based project called "Project Management Information System (PMIS)". The aim of this website is to facilitate the final year defense process for students. With the help of this website, ...
  • Stock price prediction and forecasting with machine learning 
    Nodi, Shaila Hossain (Daffodil International University, 2024-01-26)
    This project titled “STOCK PRICE PREDICTION AND FORECASTING WITH MACHINE LEARNING” which predict the price of stock for Bangladeshi data. Various methods such as analysis, time analysis and statistical analysis are used ...
  • Cyberbullying detection on Bangla social media comments 
    Bhuyain, Md Arman (Daffodil International University, 2024-01-26)
    This study investigates the potential of machine learning algorithms in detecting signs of depression within Bengali text on social media platforms. As mental health concerns continue to rise globally, understanding ...
  • Parkinson disease detection using machine learning with Explainable AI 
    Ferdaous, Jannatul (Daffodil International University, 2024-01-26)
    Aside from its effects on the nervous system, Parkinson's disease also modifies the physiological functions that the nervous system regulates. The progressive nature of Parkinson's disease makes it a degenerative disorder. ...
  • Understanding public sentiment using social media activities: a machine learning approach 
    Habib, Md. Ferdous (Daffodil International University, 2024-01-25)
    People use different social media platform to express their thoughts in their profiles or write comments on various aspects of world. Then a huge amount of data is generated and are stored on the internet in an unorganized, ...
  • Sentiment analysis on Bangladesh cricket team's world cup prospects: a study of Bengali social media comments 
    Smrity, Sharmina Urmila (Daffodil International University, 2024-01-25)
    The Bangladesh cricket team has developed a sizable following on social networking sites, where supporters share their thoughts, feelings, and sentiments regarding the team's performance. The purpose of this thesis is ...
  • BD Doctors AID 
    Faysal, Fahim (Daffodil International University, 2024-01-25)
    The web-based project I am working on is called “BD DOCTORS AID”. Through this website, people can easily search for the required specialties in their nearby area and get the list of doctors in that area. Through this ...
  • A proposed deep learning approach for detecting brinjal plant diseases 
    Hasan, Md Mustakin (Daffodil International University, 2024-01-24)
    The article provides a unique deep learning strategy for automatic recognition of brinjal plant diseases, using a large dataset that contains varied events of Phytophthora Blight, Leaf Curl Disease, Withering Leaves, ...

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