My Portfolio

Python implementation of artificial neural networks with multilayer perceptrons for machine learning. Features breast cancer classification using the Wisconsin dataset with customizable network architecture.

Brain-computer interface project using EEG data and machine learning to decode brain signals. Implements motion classification algorithms to interpret user intentions from neural activity patterns.

JavaScript-based project scheduler that optimizes task execution using the Parallel Schedule Generation Scheme algorithm. Handles complex dependencies and resource constraints for efficient project management.

Modern dating application built with React frontend and C# backend, featuring real-time chat, user matching algorithms, and responsive design. Includes Docker deployment and comprehensive user profiles.

C++ HTTP server built from scratch with support for GET, POST, PUT, DELETE methods and CGI integration. Features concurrent client handling, configuration files, and serves as a learning project for web protocols.