Hands-On-AI-Engineering
starsforks
How to install Hands-On-AI-Engineering?
sumanth077/hands-on-ai-engineering
$git clone https://github.com/Sumanth077/Hands-On-AI-Engineering</div>
README.md
| 1 | <p align="center"> |
| 2 | <a href="https://aiengineering.beehiiv.com/"> |
| 3 | <img src="assets/theaiengineering_logo.jpeg" alt="Hands-On AI Engineering Banner" width="150"> |
| 4 | </a> |
| 5 | </p> |
| 6 | <div align="center"> |
| 7 | |
| 8 | # 🚀 Hands-On AI Engineering |
| 9 | |
| 10 | [](https://opensource.org/licenses/MIT) |
| 11 | [](CONTRIBUTING.md) |
| 12 | |
| 13 | </div> |
| 14 | |
| 15 | A curated collection of practical, production-ready AI projects across multiple modalities, including language models, multimodal models, OCR systems, RAG pipelines, and AI agents. Each project is designed to help you learn, experiment, and build real-world AI applications. |
| 16 | |
| 17 | ## 📋 Table of Contents |
| 18 | |
| 19 | - [🎯 Why This Repository?](#-why-this-repository) |
| 20 | - [🗂️ Project Categories](#️-project-categories) |
| 21 | - [🚀 Getting Started](#-getting-started) |
| 22 | - [🤝 Contributing](#-contributing) |
| 23 | - [📜 License](#-license) |
| 24 | |
| 25 | --- |
| 26 | |
| 27 | ## 🎯 Why This Repository? |
| 28 | |
| 29 | - **Learn by Doing**: Each project includes complete code, setup instructions, and documentation |
| 30 | - **Production-Ready**: Projects follow best practices and are ready to be adapted for real-world use |
| 31 | - **Diverse Use Cases**: From RAG systems to multi-agent workflows and specialized applications |
| 32 | - **Multiple Model Providers**: Projects use OpenAI, Anthropic, Google, and open-source models |
| 33 | - **Active Community**: Regular updates and new project additions |
| 34 | |
| 35 | --- |
| 36 | |
| 37 | ## 🗂️ Project Categories |
| 38 | |
| 39 | ### 🤖 AI Agents |
| 40 | |
| 41 | Intelligent ai agents for various automation tasks. |
| 42 | |
| 43 | - [**Multi-Agent Research Assistant with Memory**](./ai_agents/research_assistant_with_memory) — Planner, Research, Writer, and Critic agents collaborate over a shared [Actian VectorAI DB](https://www.actian.com/databases/vectorai-db/) memory layer. Retrieves cited answers from PDFs, papers, manuals, and transcripts, self-grades them with a Critic feedback loop, and persists findings across sessions. Fully local via Ollama and BGE embeddings. |
| 44 | - [**Multi-Agent Financial Analyst**](./ai_agents/multi_agent_financial_analyst) — Team of specialized agents for comprehensive financial analysis. |
| 45 | - [**FinAgent**](./ai_agents/finagent) — Financial assistant agent for stock market analysis and insights. |
| 46 | - [**Daily AI News Digest**](./ai_agents/daily-news-digest) — Automated daily digest from 92 Karpathy-curated tech blogs delivered to Telegram every morning. MiniMax M2.7 scores articles from the last 24 hours and surfaces the 3 most significant stories. |
| 47 | - [**Agentic Form Filler**](./ai_agents/agentic-form-filler) — Agentic form-filling agent using Landing AI for layout parsing and MiniMax M2.7 for multi-turn data gathering. |
| 48 | - [**AI Travel Planning Agent**](./ai_agents/ai_travel_planning_agent) — Multi-agent travel planner that turns a single natural language request into a complete trip plan with flights, hotels, and a day-by-day itinerary. |
| 49 | - [**Competitive Intelligence Agent**](./ai_agents/competitive_intelligence_agent) — Generates strategic sales battlecards by analyzing competitors through the lens of your own business context. |
| 50 | - [**Multi-Agent Research Assistant (AG2)**](./ai_agents/multi_agent_research_assistant_ag2) — Multi-agent research pipeline using AG2 where three specialists collaborate to research any topic and produce a structured report. |
| 51 | - [**Self-Reflective Agentic RAG**](./ai_agents/agentic_rag_system) — LangGraph RAG system that grades retrieved context, rewrites the query if needed, and generates an answer only once the context passes validation. |
| 52 | - [**Agentic SQL Search**](./ai_agents/agentic_sql_search) — Natural language to SQL agent powered by Gemma 4 that writes, executes, and explains queries against an e-commerce database. |
| 53 | - [**Stock Portfolio Analyst**](./ai_agents/stock_portfolio_analyst) — Portfolio analysis agent built with Agno and DeepSeek-V4-Flash. Fetches live market data via YFinance and generates a report covering P&L, concentration risk, and rebalancing recommendations. |
| 54 | - [**Eagle Eye**](./ai |
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