Shahriar Alam Rakib

Data Scientist

Handwritten Digit Classification

The project tries to detect handwritten digits using the MNIST dataset. The aim of this project is to implement a classification algorithm to recognize the handwritten digits using neural networks, Keras and TensorFlow. We have used Deep Neural Network (DNN) and Convolutional Neural Network (CNN) with different loss functions as well as different optimization methods. […]

Alumni-Management-System

The ‘Alumni Management System’ is a web-based application to manage alumni associations. It is a database system that can be used for managing alumni students’ work. It is configurable and can be configured to meet most individual institutions’ needs. It is a multi-user system. The main objectives of this system are to provide easy and […]