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Mozammal Hossain's Projects

computer_graphics_lab icon computer_graphics_lab

This repository features Python implementations of several computer graphics algorithms, such as boundary fill, flood fill, Bresenham, DDA, midpoint circle, and scanline. These algorithms are fundamental in computer graphics and can be utilized in various applications.

cse446_api_project icon cse446_api_project

The project is a full-stack e-commerce web application for a CSE446 course project. It simulates e-commerce features between an e-commerce website, a product supplier, and a bank, demonstrating their interaction and communication.

deep-learning-with-pytorch icon deep-learning-with-pytorch

This repository is a collection of PyTorch code examples, covering beginner to advanced topics, and including implementation of CNN models from scratch.

design-patterns icon design-patterns

The GitHub repository consists of separate implementations of various design patterns, including Adapter, Command, Decorator, Facade, Observer, Prototype, Proxy, Singleton, and Strategy, in Java.

eda icon eda

The EDA repository is a collection of Jupyter notebooks that use Python libraries such as NumPy, Pandas, and Matplotlib to perform data analysis and visualization on various datasets. The notebooks cover topics such as data cleaning, identifying missing data, analyzing distribution of data, and visualizing relationships between variables.

facial-emotion-detection-cnn icon facial-emotion-detection-cnn

This projects focuses on building a system for recognizing facial expressions using neural networks. The system uses convolutional neural networks (CNNs) and is trained on a large facial dataset. The goal is to accurately classify an input image into one of seven expressions: angry, disgust, fear, happy, sad, surprise, or neutral.

focus icon focus

This is a full-stack community-based web app. It connects current undergraduate students with their alumni. This app has three sections: job resources & QA, studentshub, and higher education & resources. The job resources and QA is a section where alumni can post job openings here, and current students can ask questions and discuss their issues.

lavish-lane icon lavish-lane

The Lavish Lane repository is a Django-based e-commerce website. The site uses an SQLite database to store product information, and HTML, CSS, and JavaScript to create a visually appealing user interface. The site includes features such as product listing, search, filtering, and cart management, making it a fully functional e-commerce platform.

material-ui icon material-ui

MUI is a simple and customizable component library to build faster, beautiful, and more accessible React applications. Follow your own design system or start with Material Design.

rhythmic_share icon rhythmic_share

A music-sharing platform where users may listen to music, share music, and write music reviews. They can also like and comments on specific music.

silentmate icon silentmate

An Android app that allows us to keep our phone silent based on our location. Users should first record the locations in a database, and then, if auto mode is enabled, the mobile will automatically switch to silent mode.

social-media-client icon social-media-client

This web application built using React and Firebase, aimed at creating a basic social network. Users can create accounts, post updates, share photos and videos, and interact with other users by liking, commenting. The application provides a user-friendly interface for creating, editing and deleting post

tomato-leaf-disease-detection-cnn icon tomato-leaf-disease-detection-cnn

This work presents a simple CNN-based technique for early detection of tomato leaf disease using 22948 images from the New Plant Diseases Dataset. The proposed model has a training accuracy of 97.6% and a test accuracy of 93.6%, making it an efficient and effective tool for farmers to identify and mitigate losses due to tomato leaf disease.

zulip icon zulip

Zulip server and web application. Open-source team chat that helps teams stay productive and focused.

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