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A multi-app repository featuring AI-driven Apps: LaTeX OCR, AI news generator, stock analyst, content planner, document chat (RAG), multi-modal RAG, real-time voicebot, and more. Built with Python, OpenAI, LLMs, and modern frameworks for scalable solutions.

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sachnaror/Multi-AI-Apps

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🛠️ Multi-AI-Apps-Repository

Welcome to the Multi-AI-Apps-Repository! My weekend work of last two weeks. This repository contains various AI-driven projects and applications, including document processing, stock analysis, voicebots, and more.

Each project is contained within its own folder and serves a unique purpose in the AI, NLP, and automation space.


📋 Projects Overview

App Name Latest Commit Description
LaTeX-OCR-with-Llama Update README.md Extract LaTeX content from documents using Llama-based OCR.
ai_news_generator Create README.md Generate AI-curated news summaries using NLP techniques.
autogen-stock-analyst Update README.md with correct package An AI-powered stock market analysis and report generator.
content_planner_flow Update README.md A tool for automating and planning content creation workflows.
document-chat-rag Added open in studio button RAG-based document chatbot for querying and analysis.
llama-ocr Create README.md OCR engine powered by Llama for text extraction.
multi-modal-rag Adding tutorial for multimodal prompting Implements multimodal RAG for combining text and image prompts.
openai-swarm-ollama Updated demo notebook for open-ai swarm Demo showcasing OpenAI swarm with Ollama integration.
real-time-voicebot Initial implementation A real-time AI-driven voicebot for live interactions.

🚀 Getting Started

Each folder contains its own README.md with setup instructions and documentation for that specific project. Follow the steps below to explore the projects:

  1. Clone the repository:

    git clone https://github.com/sachnaror/Multi-AI-Apps.git
  2. Navigate to the desired app:

    cd <app-name>
  3. Follow the specific setup instructions provided in each app's README.md.


🧩 Dependencies

Some common tools and libraries required across these projects include:

  • Python 3.8+
  • OpenAI API
  • Ollama (for Llama models)
  • Hugging Face Transformers
  • FastAPI (for APIs)
  • Streamlit (for UI interfaces)

Refer to each app's documentation for specific dependencies and installation steps.


💡 Contributing

Contributions are welcome! To contribute:

  1. Fork the repository.
  2. Create a new branch:
    git checkout -b feature/new-feature
  3. Commit your changes:
    git commit -m "Add new feature"
  4. Push to the branch:
    git push origin feature/new-feature
  5. Open a Pull Request.

📬 Contact

For questions or support, reach out to:


Happy Coding! 🚀

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A multi-app repository featuring AI-driven Apps: LaTeX OCR, AI news generator, stock analyst, content planner, document chat (RAG), multi-modal RAG, real-time voicebot, and more. Built with Python, OpenAI, LLMs, and modern frameworks for scalable solutions.

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