As digital data continues to grow rapidly across sectors, ensuring its integrity and authenticity presents a critical challenge—particularly in centralized cloud storage systems, which are vulnerable to unauthorized access, ...

In this project, built an intelligent traffic congestion management system with an ESP32 board. Traffic signal timings are changed in realtime by the system based on vehicle density data captured using 8 such IR sensor ...

Traffic management is a major challenge in densely populated countries like Bangladesh, where traffic violations are common and hard to enforce. In this project, we propose an Development of Intelligent Traffic Management ...

This research explores the vital field of malware detection, which is a crucial component of modern cybersecurity and deals with threats to workstations, servers, cloud instances, and mobile devices. Utilizing machine ...

A Deep Learning-Based Smart Rose Disease Classifier tries to solve the problem of plant illnesses that are getting worse and hurting farming, costing farmers much money. This project is about using deep learning to quickly ...

A vital component of wellbeing is mental health. Our mental health is very important as it maintains our overall well-being, affects how we think feel and act, and prompt treatments can be made when mental health issues ...

The proliferation of Internet of Things (IoT) technology has ushered in a new era of healthcare, enabling real-time monitoring and management of patient health. This project focuses on the development of an IoT-based health ...

One of the most common and deadly types of cancer that affects women globally is breast cancer. Accurate diagnosis and early detection are essential for enhancing patient outcomes. Recent developments in deep learning and ...

The Multiple-input, multiple-output (MIMO) systems are becoming increasingly important in modern wireless communication due to their capacity to increase data speeds and enhance reliability. Using the Transmit Antenna ...

The purpose of the study is to investigate learners' attitudes toward Bangladeshi YouTube content for learning English. This study uses a quantitative descriptive method. The participants of the study were 82 students ...