Md Ali Azad's Projects
Explore fundamental computer graphics algorithms implemented in Python. This repository contains a collection of Python scripts and code examples for essential computer graphics concepts, making it a valuable resource for learning and applying graphics fundamentals.
In this paper, we introduce an Autoencoder with a Deep CNN, which we call DConvAENNet for recognizing Bangla Handwritten Character (BHC). A total of 22 experiments were performed on the three-character datasets (BanglaLekha-Isolated, CMATERdb 3.1, Ekush).
At the NSU Inter-University Hackathon 2020, we took on the challenge of developing a web application that addressed the needs of both vendors and buyers. Our team proudly achieved the distinction of being the first to successfully tackle this challenge.
This project leverages the power of YOLOv4, an advanced object detection algorithm, to identify and locate cracks in ceramic sanitary-ware products in real-time. This cutting-edge solution employs deep learning techniques to enhance the quality control process.
SEClms is a web-based digital library management system application that is built using the Django framework. It is designed to help librarians manage their digital collections more efficiently and provide students with easy access to the libraryβs resources.
A Bangla Handwritten Word Dataset