Sumanth077 / Hands-On-AI-Engineering
git clone https://github.com/Sumanth077/Hands-On-AI-Engineering.git
A curated collection of practical AI projects implementing OCR systems, RAG, AI agents, and other AI use cases.
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LanguagePython
Licenseβ
Created2025-02-24 (1y ago)
Last push2d ago
Watchers35
OwnerUser
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Links
- GitHub: github.com/Sumanth077/Hands-On-AI-Engineering
- Homepage: https://aiengineering.beehiiv.com
- Releases Β· Issues Β· Hacker News mentions
README excerpt
# π 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. ## π Table of Contents - π― Why This Repository? - ποΈ Project Categories - π Getting Started - π€ Contributing - π License --- ## π― 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 adapted for real-world use - **Diverse Use Cases**: From RAG systems to multi-agent workflows and specialized applications - **Multiple Model Providers**: Projects use OpenAI, Anthropic, Google, and open-source models - **Active Community**: Regular updates and new project additions --- ## ποΈ Project Categories ### π€ AI Agents Intelligent ai agents for various automation tasks. - **Multi-Agent Research Assistant with Memory** β Planner, Research, Writer, and Critic agents collaborate over a shared Actian 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. - **Multi-Agent Financial Analyst** β Team of specialized agents for comprehensive financial analysis. - **FinAgent** β Financial assistant agent for stock market analysis and insights. - **Daily AI News Digest** β 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. - **Agentic Form Filler** β Agentic form-filling agent using Landing AI for layout parsing and MiniMax M2.7 for multi-turn data gathering. - **AI Travel Planning Agent** β 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. - **Competitive Intelligence Agent** β Generates strategic sales battlecards by analyzing competitors through the lens of your own business context. - **Multi-Agent Research Assistant (AG2)** β Multi-agent research pipeline using AG2 where three specialists collaborate to research any topic and produce a structured report. - **Self-Reflective Agentic RAG** β LangGraph RAG system that grades retrieved context, rewrites the query if needed, and generates an answer only once the context passes validation. - **Agentic SQL Search** β Natural language to SQL agent powered by Gemma 4 that writes, executes, and explains queries against an e-commerce database. - **Stock Portfolio Analyst** β 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. - **Eagle Eye** β GitHub PR r