by Sumanth077 · MCP Server · ★ 2.5k
🚀 Hands-On AI Engineering 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. 📋 Table of Contents 🎯 Why This Repository? 🗂️ Project Categories 🚀 Getting Started 🤝 Contributing 📜 License 🎯 Why This Repository? Learn by Doing: Each project includes complete code, setup instructions, and documentation Production-Ready: Projects follow best practices and are ready to be...
| Stars | 2,546 |
| Forks | 682 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 54.8546981242714/100 |
| Open Issues | 7 |
| Last Updated | 2026-07-01 |
| Created | 2025-02-24 |
| Platforms | mcp, python |
| Est. Tokens | ~16k |
These tools work well together with Hands-On-AI-Engineering for enhanced workflows:
Explore other popular mcp server tools:
Hands-On-AI-Engineering is A curated collection of practical AI projects implementing OCR systems, RAG, AI agents, and other AI use cases.. It is categorized as a MCP Server with 2.5k GitHub stars.
Hands-On-AI-Engineering is primarily written in Python. It covers topics such as agents, ai, ai-agents.
You can find installation instructions and usage details in the Hands-On-AI-Engineering GitHub repository at github.com/Sumanth077/Hands-On-AI-Engineering. The project has 2.5k stars and 682 forks, indicating an active community.