Faculty of Science and Information Technology: Recent submissions

Now showing items 201-220 of 4596

Salinity-Resilient Crop Health Monitoring: Automated Disease Detection in Luffa Aegyptiaca Leaves Using Vision Transformer & CNN

Islam, Md. Tariqul (Daffodil International University, 2024-01-01)

In coastal areas where agriculture is often constrained by salinity, cultivating specific crops like Luffa Aegyptiaca (sponge gourd) becomes crucial for local sustenance. Identifying these diseases is challenging and ...
Extractive text rank-based NPL news summarization for multiple domain

Mustofa, Md. Wazih Ullah (Daffodil International University, 2024-01-22)

This paper provides a thorough analysis of extractive summarization, or the use of Natural Language Processing (NLP) techniques to summarize news articles. Approximately two thousand articles covering a wide range of ...
Human disease prediction and doctor recommendation system using machine learning approaches: A case study in Bangladesh

Abir, Darun Karas (Daffodil International University, 2024-01-01)

Despite significant strides in modern technology, a substantial portion of the global population is still not getting proper medical care. This issue is particularly pronounced in developing countries which face a double ...
Bangla Book review analysis with different word embedding and machine learning

Abdul Al Motakabbir, Md. (Daffodil International University, 2024-01-27)

Different product review analysis recently attracted the attention of natural language processing specialists, thanks to positive customer comments and reviews spread around the web. The increasing number of e-commerce ...
A deep learning approach for classification of liver disease

Kalam, Binte Faria (Daffodil International University, 2024-01-25)

Liver diseases pose a significant global health burden, with diverse manifestations such as ballooning, fibrosis, inflammation, and steatosis. Accurate and timely diagnosis is crucial for effective treatment planning and ...
Food review sentiment analysis by fast text and machine learning approach

Hasan, Md. (Daffodil International University, 2024-01-27)

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, 2024-01-26)

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, 2024-01-22)

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, ...
Product purchasing sentiments analysis for monitoring cosmetic brands and beauty products based on user feedback in Bangladesh

Mawa, Jannatul (Daffodil International University, 2024-01-01)

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 ...
A deep learning based text summarization process

Biswas, Binti (Daffodil International University, 2024-01-21)

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 ...
IoT-enabled plant monitoring system using ESP32-S3 and Blynk application

Emon, Mohammad Nurul Islam (Daffodil International University, 2024-01-22)

Plant monitoring is seen as one of the most important tasks in any farming or agriculture based environment. This paper automates plant monitoring and smart gardening using IoT in the NodeMCU system platform. The main ...
Accidental prone area detection in Dhaka Metropolitan City using machine learning models

Jerin, Foyjunnesa (Daffodil International University, 2024-01-01)

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, 2024-01-01)

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: ...
Spam text detection by using ML Algorithms

Sumiya (Daffodil International University, 2024-01-01)

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, 2024-01-26)

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, 2024-01-22)

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 (2024-01-01)

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 ...
Blood bd web-based blood donation platform

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 ...

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Faculty of Science and Information Technology: Recent submissions

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