Project Description: The aim of this project was to create an automatic detection system to identify coronavirus-infected patients using chest X-rays. A CNN architecture was implemented to identify if a patient is COVID-19 positive or negative. A total of 140 images were used for training, 50 images for validation from each category (Covid-19 and Healthy), and 16 images for testing (10 images of COVID-19 and 6 images of Healthy). All the images were selected randomly for training, validation, and testing. We achieved an accuracy of 98.79% using this model. 

Supervisor: Md. Imran Hossain

Project Link: GitHub

Project Description: This project is a complete library management system. 

• Both the book title and the author name can be used to search for books.

• Anyone can read books from the study material.

• Users must be logged in in order to download books for offline reading.

Supervisor: Md. Rakib Hasan

Languages: HTML, CSS, PHP, JavaScript

Framework: Bootstrap

Project Link: GitHub

Project Description: A mobile application (for Android) to manage the class schedule of teachers and students in the ICT department. 

Supervisor: Md. Rakib Hasan

Software: Android Studio

Language: Java

Project Link: GitHub