ServeAI

Introduction

ServeAI is a multi-agent customer service platform that leverages advanced technologies in Natural Language Processing (NLP) and Voice AI. This full-stack application is designed to enhance customer interactions through intelligent chatbots and voice assistants, providing seamless support and improving user experience.

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Key Features

• Multi-Agent Architecture: Supports multiple AI agents to handle various customer queries simultaneously.
• Natural Language Processing: Utilizes NLP techniques to understand and respond to customer inquiries effectively.
• Voice AI Integration: Offers voice interaction capabilities for a more engaging customer experience.
• Full-Stack Solution: Includes both frontend and backend components for a complete application experience.
• Testing Framework: Built-in unit testing to ensure code quality and reliability.

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Folder Structure

.
├── .env.example          # Example environment variables
├── .git                  # Git version control directory
├── .gitignore            # Files and directories to ignore in Git
├── API.md                # API documentation
├── backend               # Backend source code
│   ├── api               # API server code
│   └── tests             # Unit tests for backend
├── demo.py               # Demo script for showcasing features
├── frontend              # Frontend source code
├── package.json          # Project metadata and dependencies
├── requirements.txt      # Python dependencies for the backend
└── run_tests.sh          # Script to run tests

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Installation & Setup

To get started with ServeAI, clone the repository and install the necessary dependencies:

git clone https://github.com/vikasexcel/ServeAI.git
cd ServeAI

Backend Setup

1. Navigate to the backend directory.
2. Install the required Python packages listed in requirements.txt:

pip install -r requirements.txt

Frontend Setup

1. Navigate to the frontend directory.
2. Install any necessary frontend dependencies (if applicable).

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Usage

To start the application, run the following command from the backend directory:

python backend/api/server.py

You can run tests to ensure everything is functioning correctly:

python -m unittest discover -s backend/tests -p 'test_*.py' -v

For development purposes, you can use the same command to start the server in development mode.

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For more detailed information on the API and its usage, please refer to the API documentation.