The rise of digital platforms has transformed the way students and individuals buy, sell, and exchange goods, particularly within educational environments. This project, Campus Exchange, aims to provide a convenient and ...

The identification of flowers is one of the most popular areas of research in the computer vision. This technology proves useful in many areas such as botany, agriculture, environmental science and also teaches in schools. ...

Clean air is crucial for animal life as well as human health since it is associated with a number of deadly illnesses, including cancer. However, due to the world's rapid urbanization and population growth, activities ...

Phishing attacks remain a critical threat to online security, necessitating the need for effective detection methods as traditional methods are not much effective in current challenging world. Where every technology is ...

As Bangladesh rapidly transforms into a hub of innovation and entrepreneurship, people’s daily routines are becoming busier, making time - saving solutions more critical. With an increasing number of individuals seeking ...

The primary objective of the app is to facilitate immediate roadside assistance for drivers experiencing vehicle breakdowns by connecting them with the nearest available garages and mechanics. It aims to ensure quick, ...

Lemon leaf canker, a bacterial disease affecting lemon cultivation globally, requires efficient detection methods to prevent economic losses andcropdamage. This study evaluates the performance of four advanced YOLOmodels—YOLOv5, ...

In the modern world, salary serves as a crucial motivator for employees, making accurate salary prediction significant for both employers and employees. It enables both parties to estimate expected compensation effectively, ...

It is important to classify flowers because it forms a major part of botanical studies, agriculture and study of the environment among others. The idea to be developed in this project can be referred to as Flower ...

This project report describes how to use the MERN stack (MongoDB, Express, React, and Node.js) to create and implement a food delivery application. Creating an intuitive and effective platform was the aim of this project ...