A curated collection of innovative programming projects brought to life through code implementations
Welcome to my comprehensive repository of programming samples and showcases! 🚀 This collection showcases my journey through the fascinating world of software development, AI, Machine Learning, and creative programming. Each project represents a deep dive into cutting-edge technologies, transforming ideas into practical, runnable applications.
As a passionate developer specializing in artificial intelligence with expertise across multiple domains, I believe that innovation comes through implementation. This repository serves as:
- 🔬 Development Laboratory: Hands-on exploration of state-of-the-art technologies
- 💡 Learning Resource: Detailed implementations with explanations
- 🌉 Idea-to-Code Bridge: Converting concepts into actionable applications
- 📖 Knowledge Sharing: Open-source contributions for the developer community
Exploring the frontiers of artificial intelligence and machine learning
Status: ✅ Complete | Technologies: Python, FastAPI, Vue.js, TypeScript, PostgreSQL, Redis Repository: trading-signals-reader-ai-bot
Key Features & Capabilities:
- AI-Powered Trading: Natural language processing for executing trades via plain English commands through Telegram
- Multi-Exchange Integration: Support for Binance, Coinbase Pro, Kraken with real-time market data via CCXT
- Advanced Risk Management: Automated risk scoring, intelligent stop-loss/take-profit, and portfolio analytics
- Enterprise Security: HashiCorp Vault integration, JWT authentication, and comprehensive audit logging
- Multi-Platform Access: Web dashboard, mobile app, Telegram bot, and REST API for complete trading ecosystem
- Real-time Analytics: TradingView-style charts, technical indicators, and performance metrics
Status: ✅ Complete | Technologies: Python, PyTorch, Transformers, FastAPI, vLLM Repository: Custom-LLM-chatbot-sample
Key Features & Capabilities:
- Advanced Training Pipeline: Multiple training methods including SFT, LoRA, DPO with memory-efficient optimizations
- High-Performance Serving: Multiple backends (PyTorch, ONNX, vLLM) with production-ready FastAPI integration
- Enterprise Monitoring: Comprehensive metrics, Streamlit dashboard, Prometheus integration, and health checks
- Scalable Architecture: Load balancing, request batching, GPU optimization, and WebSocket streaming
- Developer Experience: Modular design, YAML configuration, comprehensive testing, and rich documentation
- Multi-Format Support: Various data formats with built-in preprocessing and experiment tracking
Status: ✅ Complete | Technologies: Python, LangGraph, FastAPI, Vue.js, PostgreSQL, Redis Repository: chat-bot-practice-langchain
Key Features & Capabilities:
- Advanced AI Architecture: Enhanced conversation flow with LangGraph and multiple LLM provider support
- Enterprise User Management: JWT authentication, role-based access control, and comprehensive admin panel
- Real-time Communication: WebSocket support, conversation history, and external API integration
- Microservices Design: Docker containerization, API gateway, horizontal scaling, and service separation
- Modern Frontend: Responsive Vue.js interface with dark/light mode and mobile compatibility
- Production Ready: Comprehensive logging, monitoring, CI/CD integration, and automated testing
Status: ✅ Complete | Technologies: Python, FastAPI, Vue.js, TypeScript, PostgreSQL, MongoDB, Redis, Qdrant Repository: postlytics-ai
Key Features & Capabilities:
- AI-Powered Analytics: Advanced AI algorithms for social media insights, predictive analytics, and sentiment analysis
- Multi-Platform Integration: Complete analytics for Twitter, Instagram, Facebook, LinkedIn, TikTok with unified dashboard
- Conversational AI Assistant: Natural language queries with multi-agent system for specialized analysis types
- Advanced Content Moderation: AI-powered filtering with custom rules and real-time monitoring alerts
- Vector-Powered Search: Semantic search, content clustering, and trend detection using Qdrant embeddings
- Enterprise Architecture: Microservices design with Kubernetes orchestration, comprehensive monitoring, and scalable infrastructure
Status: ✅ Complete | Technologies: Python, PyTorch, Transformers, QLoRA, PEFT, Ollama Repository: arabic-qwen-base-finetuning
Key Features & Capabilities:
- Arabic Language Optimization: Fine-tuned Qwen2-1.5B model specifically for Arabic language processing and understanding
- Resource-Efficient Training: QLoRA (Quantized Low-Rank Adaptation) implementation for training on limited hardware (4GB VRAM)
- Comprehensive Pipeline: Complete training workflow from data preparation to model evaluation and deployment
- Performance Benchmarking: Evaluated on ArabicMMLU benchmark achieving 42.3% average accuracy with high parameter efficiency
- Multi-Format Support: GGUF conversion, quantization, and Ollama integration for flexible deployment options
- Production Ready: Full pipeline automation with model comparison, evaluation metrics, and deployment scripts
📝 Note: This repository is actively growing! New project implementations are being added regularly. Check back often for updates or star the repository to stay notified.
- ✅ Complete: Fully implemented and tested
- 🔄 In Progress: Currently under development
- 📋 Planned: Scheduled for implementation
- 🔍 Under Review: Code review and optimization phase
- Choose a project from the categories above
- Click on any project card to access its GitHub repository
- Follow the README in each repository for setup instructions
- Run the experiments and explore the results!
I welcome discussions, suggestions, and collaborations! Feel free to:
- 🐛 Report Issues: Found a bug? Let me know!
- 💡 Suggest Projects: Have an idea you'd like to see implemented?
- 🔀 Contribute: Improvements and optimizations are always welcome
- 💬 Discuss: Reach out for development collaborations
- 🌐 Website:
https://artaasadi.com - 💼 LinkedIn:
https://linkedin.com/in/arta-asadi-6677a4a6 - 🐦 X:
https://twitter.com/arta_asd - 📧 GitHub:
https://github.com/artaasd95
"The best way to understand a technology is to build something meaningful with it."
Each project in this collection represents not just code, but a journey of understanding—from the initial concept to the final working system. Through this process, we uncover the nuances, challenges, and insights that only come from hands-on experience.
⭐ Star this repository if you find it helpful, and watch for updates as new implementations are added regularly!
Happy Coding & Building! 🚀