In this paper, an attempt is made to accurately classify vegetables and fruits. This classification uses a dataset of 6000 photos divided into 15 classes. Convolutional neural networks, a type of deep learning algorithm, ...

The detection and classification of diseases affecting mango leaves are critical for maintaining crop health and ensuring optimal yield. Manual inspection methods are often time-consuming and prone to human error, ...

There is a fascinating variety of decorative fish species hiding in Bangladesh's waterways, each with its own color and pattern scheme. This thesis sets out on an intensive expedition to discover the mysteries of these ...

Article 15 of the Bangladeshi constitution requires the state to guarantee "the right to social security." From birth to death, the Universal Pension Scheme aims to provide social security for all of its citizens and ensure ...

This study investigates the potential therapeutic effects of cabbage (Brassica oleracea) and ispaghula (Plantago ovata) through experimental analysis of their antihyperlipidemic, antihyperglycemic, and antihepatotoxic ...

Speech classification is a crucial task in various applications, such as speech recognition and speech analysis. CNNs have shown remarkable success in speech classification tasks for different languages. This research ...

This study aims to explore the efficacy of convolutional neural networks (CNNs), a deep learning methodology, in the early diagnosis of keratoconus, a severe corneal disorder with potential to lead to blindness. Predominantly ...

In this rapid advancement of technology online education has come out as an alternative to traditional classroom based learning systems especially in the contexts like Bangladesh. While Bangladesh embraced online education ...

This study investigates the application of various machine learning models for predicting house prices using a dataset sourced from Bproperty, which includes 598 entries and seven attributes: Address, no. of bedrooms, ...

The goal of this project is to reliably detect linguistic variants and dialects by classifying regional languages spoken in Bangladesh using machine learning (ML) and deep learning (DL) techniques. The dataset has 3000 ...