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Sumanth077 / Hands-On-AI-Engineering

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A curated collection of practical AI projects implementing OCR systems, RAG, AI agents, and other AI use cases.

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2026-10-20 Β· 4,021 β˜… 2026-10-23 Β· 4,039 β˜…
LanguagePython
Licenseβ€”
Created2025-02-24 (1y ago)
Last push2d ago
Watchers35
OwnerUser

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README excerpt
# πŸš€ 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.
## πŸ“‹ Table of Contents
- 🎯 Why This Repository?
- πŸ—‚οΈ Project Categories
- πŸš€ Getting Started
- 🀝 Contributing
- πŸ“œ 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 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
---
## πŸ—‚οΈ Project Categories
### πŸ€– 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