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deep-learning-capstone

@rmatusevych

Deep Learning capstone project about MCP servers
Overview

what is Deep Learning Capstone?

Deep Learning Capstone is a project focused on creating a chatbot for MCP servers using deep learning techniques.

how to use Deep Learning Capstone?

To use the Deep Learning Capstone project, follow these steps:

  1. Run the installation command: curl -LsSf https://astral.sh/uv/install.sh | sh
  2. Create a virtual environment with uv venv
  3. Activate the virtual environment using source .venv/bin/activate
  4. Install the required packages with uv pip install -e .
  5. Run the chatbot with uv run src/mcp_chatbot.py.

key features of Deep Learning Capstone?

  • Integration of deep learning models for natural language processing.
  • A functional chatbot interface for interacting with MCP servers.
  • Easy setup and installation process.

use cases of Deep Learning Capstone?

  1. Providing automated responses to user queries on MCP servers.
  2. Assisting in server management tasks through conversational interfaces.
  3. Enhancing user experience with intelligent chatbot interactions.

FAQ from Deep Learning Capstone?

  • What is the main purpose of the Deep Learning Capstone project?

The main purpose is to develop a chatbot that can effectively communicate with users and assist them in managing MCP servers.

  • Is there any specific programming language used?

Yes, the project is developed using Python.

  • How can I contribute to the project?

You can contribute by submitting issues or pull requests on the project's GitHub repository.

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