A hands-on collection of production-ready AI agents and systems. This repository features practical AI applications spanning autonomous agents, RAG pipelines, voice cloning, financial automation, and multi-agent workflows. Built with models from OpenAI, Anthropic, and fine-tuned open-source alternatives.
💡 Real-world AI projects that solve actual problems — not just demos or proof-of-concepts.
🎓 Learn how to build end-to-end AI systems from data extraction to autonomous decision-making.
🚀 Explore cutting-edge tech — voice cloning with zero marginal cost, RAG agents that process documents intelligently, and multi-agent orchestration with LangGraph.
AI agent for analyzing financial statements and banking documents with intelligent data extraction.
Tech Stack: Python LLM Finance
Autonomous agent for processing and interpreting datasets with automated insights generation.
Tech Stack: Python Data Analysis AI
Travel planning and itinerary generation agent powered by AI recommendations.
Tech Stack: Python Travel Planning
Multi-source news collection and aggregation with intelligent categorization.
Tech Stack: Python News Web Scraping
AI-powered writing assistant for content generation and editing.
Tech Stack: Python NLP Content Generation
Intelligent repository exploration and analysis using Model Context Protocol.
Tech Stack: Python MCP GitHub API
Trading and portfolio analysis agent with MCP integration.
Tech Stack: Python MCP Finance
Process and query audio content with intelligent retrieval and generation.
Tech Stack: Python RAG Audio Processing
Document processing and intelligent Q&A for PDF files.
Tech Stack: Python RAG PDF Processing
AI-powered poker analysis and strategy recommendations.
Tech Stack: Python Game Theory AI
Practice product management interviews with AI-driven feedback.
Tech Stack: Python Interview Prep AI
Fine-tuned XTTS v2 model for voice cloning to automate YouTube shorts. Local training on M4 MacBook with zero marginal cost per generation.
Tech Stack: Voice Cloning Fine-Tuning XTTS
- Languages: Python
- Frameworks: LangChain, LangGraph
- Models: OpenAI, Anthropic, XTTS
- Techniques: RAG, AI Agents, Multi-Agent Systems, Fine-Tuning
Want to learn how I build these systems? Check out:
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Built by Atul Pandey | AI Builder
this is the 4th testing comment this is just random with orchestrator 10 this is from agent orchestrator 11 this is the final check test script 2