Projects

A comprehensive, production-ready client for the CARLA autonomous driving simulator featuring realistic vehicle control, sensor fusion, real-time monitoring, and automated deployment pipelines. The project is published on PyPI and Docker Hub with full CI/CD automation. 🚗 What It Is This is my most ambitious project to date - a comprehensive client for the CARLA autonomous driving simulator. The project provides a complete solution for running autonomous driving simulations with realistic vehicle control, sensor fusion, and real-time monitoring. It’s designed as a production-ready system with automated deployment, versioning, and distribution. ...

A comprehensive machine learning project that compares the performance of Random Forest Classifier (RFC), Decision Tree Classifier (DTC), and Support Vector Machine (SVM) algorithms for CPU classification tasks. This project demonstrates different approaches to classification problems and their trade-offs. 🧠 What It Is This project explores three different machine learning algorithms for classification tasks, specifically applied to CPU classification. The goal is to understand the strengths and weaknesses of each algorithm and their suitability for different types of classification problems. ...

A comprehensive self-hosted infrastructure using Docker services for home automation, privacy protection, system monitoring, and media management. Built with Docker Compose for easy deployment and management. 🏠 What It Is A comprehensive homelab infrastructure built with Docker services for self-hosting various applications and services. The infrastructure provides home automation, privacy protection, system monitoring, media management, and secure remote access capabilities. 🛠️ Technologies Used Docker - Containerization platform for service isolation Docker Compose - Multi-container application orchestration Home Assistant - Home automation and IoT platform AdGuard - DNS-based ad-blocking and privacy protection Pi-hole - Network-wide ad-blocking DNS server Netdata - Real-time system monitoring and metrics Portainer - Docker container management interface Cloudflared - Secure tunneling and remote access Immich - Self-hosted photo and video management Keycloak - Identity and access management ✨ Key Features Home Automation Home Assistant: Centralized smart home control IoT Integration: Support for various smart devices Automation Rules: Custom automation scenarios Energy Monitoring: Power consumption tracking Security Systems: Home security integration Privacy and Security AdGuard: Advanced DNS-based ad-blocking Pi-hole: Network-wide ad and tracker blocking Keycloak: Secure authentication and authorization Cloudflared: Secure remote access tunneling SSL/TLS: Encrypted communications System Monitoring Netdata: Real-time system performance monitoring Resource Tracking: CPU, memory, and disk usage Alert System: Automated notifications for issues Historical Data: Performance trend analysis Custom Dashboards: Tailored monitoring views Media Management Immich: Self-hosted photo and video management Media Organization: Automatic file organization Backup Solutions: Automated media backup Sharing Features: Secure media sharing Mobile Apps: Cross-platform mobile access Container Management Portainer: Web-based Docker management Service Orchestration: Multi-service deployment Resource Monitoring: Container resource usage Log Management: Centralized logging Update Management: Automated service updates 🎯 What I Learned Docker and Containerization Container Orchestration: Managing multiple containers effectively Docker Compose: Defining multi-service applications Volume Management: Persistent data storage strategies Network Configuration: Container networking and communication Resource Optimization: Efficient resource allocation Infrastructure Management Service Discovery: Implementing service-to-service communication Load Balancing: Distributing traffic across services Health Monitoring: Checking service health and availability Logging and Debugging: Centralized logging and troubleshooting Backup Strategies: Data protection and recovery Security and Privacy Authentication Systems: Implementing secure user management Network Security: Protecting internal and external communications SSL/TLS Configuration: Securing web services Access Control: Managing user permissions and roles Privacy Protection: Blocking tracking and ads Home Automation IoT Integration: Connecting smart devices and sensors Automation Rules: Creating intelligent home behaviors Device Management: Adding and configuring smart devices Energy Monitoring: Tracking power consumption Security Systems: Implementing home security features 🚀 Project Impact The Docker Services homelab provides: ...

AI-powered emotion analyzer that detects faces in photos, analyzes emotions, and generates corresponding music. Built with Python, Flask, and deep learning models. 😊 What It Is An innovative application that combines computer vision, deep learning, and audio generation to create a unique emotional experience. The system can detect human faces in images, analyze their emotional state, and generate music that matches the detected mood. 🛠️ Technologies Used Python - Core application logic and AI processing Flask - Web framework for the user interface TensorFlow - Deep learning framework for emotion recognition PyTorch - Additional neural network models DeepFace - Advanced face detection and analysis OpenCV - Computer vision and image processing Librosa - Audio processing and music generation ✨ Key Features Face Detection Advanced computer vision techniques for face detection Support for multiple faces in a single image Robust detection across different lighting conditions Real-time processing capabilities Emotion Recognition Deep learning models for emotion classification Support for 7 basic emotions: Happy, Sad, Angry, Fear, Surprise, Disgust, Neutral High accuracy emotion detection Confidence scoring for each detected emotion Music Generation AI-generated music based on detected emotions Emotional mapping algorithms Multiple music styles and genres Real-time audio generation Web Interface User-friendly Flask-based web application Drag-and-drop image upload Real-time emotion analysis display Interactive music player with generated tracks 🎯 What I Learned Computer Vision Face detection algorithms and techniques Image preprocessing and augmentation Real-time video processing capabilities Handling different image formats and qualities Deep Learning Training and deploying emotion recognition models Model optimization and fine-tuning Transfer learning for improved accuracy Handling imbalanced datasets Audio Processing Music generation using AI models Audio feature extraction and analysis Emotional mapping to musical characteristics Real-time audio synthesis Web Development Building responsive web interfaces with Flask File upload and processing Real-time updates and user feedback Integration of multiple AI services 🔧 Technical Challenges Emotion Recognition Accuracy Training models to accurately recognize emotions across different facial expressions, lighting conditions, and cultural variations was a significant challenge. ...

A high-performance task queue system built in Go, designed for distributed computing and concurrent task processing. This project explores the power of Go’s concurrency model and demonstrates best practices for building scalable, high-performance applications. ⚡ What It Is A robust task queue system that leverages Go’s unique concurrency features to provide high-throughput, low-latency task processing. The system is designed for distributed environments where multiple workers can process tasks concurrently while maintaining data consistency and fault tolerance. ...

A machine learning project focused on GPU classification and performance analysis. This project demonstrates how to apply machine learning techniques to hardware classification problems, providing insights into GPU performance characteristics. 🎯 What It Is This project applies machine learning techniques to GPU classification and performance analysis. It demonstrates how to use various ML algorithms to classify GPUs based on their specifications and performance characteristics, providing valuable insights for hardware selection and optimization. ...

Home Assistant Smart Home Automation What It Is A comprehensive smart home automation system built to solve the specific challenge of waking up in cold German winters with early sunsets. The system uses Home Assistant as the central hub, custom-built temperature sensors using Wemos D1 mini and SHT31 sensors, and WS2812B LED strips controlled by WLED for natural sunrise simulation. The system is designed to create a natural wake-up experience by simulating sunrise with gradual light transitions and coordinating smart heating to ensure optimal room temperature. It integrates weather data to optimize energy consumption and provides remote control capabilities for complete automation management. ...

An accessible and inclusive website designed for the Second International Workshop on Inclusive Human-Computer Interaction. Built with modern web standards and WCAG 2.1 compliance. 🌐 What It Is A comprehensive workshop website that demonstrates inclusive design principles while providing information about the Second International Workshop on Inclusive Human-Computer Interaction. The website serves as both a platform for workshop information and a reference implementation of accessible web design. 🛠️ Technologies Used HTML5 - Semantic markup with proper document structure CSS3 - Modern styling with Grid, Flexbox, and custom properties JavaScript - Interactive functionality and accessibility enhancements Parcel Bundler - Asset bundling and optimization WCAG 2.1 - Accessibility compliance standards ✨ Key Features Accessibility First WCAG 2.1 AA compliant design Full keyboard navigation support Screen reader friendly semantic HTML High contrast color schemes Proper ARIA labels and roles Responsive Design Mobile-first design approach Flexible grid layouts Touch-friendly interface elements Optimized for all screen sizes Fast loading across devices Modern Web Standards Semantic HTML5 structure CSS Grid and Flexbox layouts CSS custom properties for theming Progressive enhancement Performance optimized Interactive Components Accessible navigation menus Responsive image galleries Contact forms with validation Smooth animations and transitions Cross-browser compatibility 🎯 What I Learned Web Accessibility Implementing WCAG 2.1 guidelines Testing with screen readers and assistive technologies Creating keyboard-accessible interfaces Designing for color blindness and visual impairments Writing semantic and meaningful HTML Modern CSS Advanced layout techniques with Grid and Flexbox CSS custom properties for maintainable theming Performance optimization strategies Responsive design best practices Animation and transition techniques Inclusive Design User-centered design methodologies Universal design principles Testing with diverse user groups Continuous accessibility improvement Balancing aesthetics with functionality Content Strategy Information architecture for web Clear and accessible content writing Visual hierarchy and typography Multimodal content presentation SEO and discoverability considerations 🚀 Project Impact The Inclusive HCI Workshop website demonstrates: ...

this is the website you’re currently viewing. i built it using hugo and the papermod theme. what it is a personal website that showcases my work, thoughts, and journey as a software engineer. it’s fast, clean, and focused on content. why i built it portfolio - showcase my projects and skills blogging - share what i learn and think about personal branding - establish my online presence learning - explore static site generators tech stack hugo - static site generator papermod theme - clean, minimal design markdown - content management github pages - hosting (planned) key features responsive design - works on all devices dark mode - easy on the eyes fast loading - optimized for performance seo friendly - search engine optimized easy to update - simple content management what i learned hugo is powerful - generates sites in milliseconds static sites are great - fast, secure, reliable content first - design should serve the content simplicity wins - less is more challenges theme configuration - papermod has many options content organization - structuring pages and posts deployment setup - github pages integration next steps add analytics - track visitor behavior optimize performance - improve loading speed add more content - regular blog posts deploy to github pages - make it live view the code the source code is available on github. ...

An automated question paper generator designed to streamline the process of creating educational assessments. The tool features customizable templates, question banks, and automated PDF generation for professional-looking question papers. 📝 What It Is A comprehensive tool for automating the creation of educational question papers. The application features a user-friendly interface, customizable templates, and automated PDF generation to help educators create professional assessments efficiently. 🛠️ Technologies Used C# - Core application development .NET Framework - Application framework Question Generation - Automated question paper creation Document Generation - PDF output creation Database - Question bank management User Interface - Windows Forms or WPF ✨ Key Features Automated Question Paper Generation Intelligent question selection from question banks Support for multiple question types (MCQ, descriptive, etc.) Automated question paper formatting Configurable difficulty levels and topics Question Bank Management Comprehensive question database Question categorization and tagging Difficulty level classification Topic-wise organization Multiple Question Types Support Multiple Choice Questions (MCQ) Descriptive questions Short answer questions True/False questions Matching questions PDF Output Generation Professional question paper formatting Customizable templates Answer key generation Print-ready output 🎯 What I Learned C# Development Windows application development Database integration and management User interface design principles Software architecture patterns Educational Software Design Understanding educational requirements User experience for educators Workflow optimization for teaching Educational technology integration Document Generation PDF creation and formatting Template-based document generation Professional document layout Print optimization User Interface Design Intuitive user interface design Workflow optimization User feedback integration Accessibility considerations 🔧 Technical Challenges Question Selection Algorithm Creating an intelligent algorithm that selects appropriate questions based on difficulty, topic, and other criteria was a significant challenge. ...