https://github.com/camcar1/avone
Simplified version of avatar for easy integration and customization. Enhance your projects with this lightweight solution. 🌟👤
https://github.com/camcar1/avone
3d ai avatar aws-polly chatbot facial-expressions github-config guide javascript nodejs openai react speech-synthesis threejs tutorial voice-recognition webgl
Last synced: 4 days ago
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Simplified version of avatar for easy integration and customization. Enhance your projects with this lightweight solution. 🌟👤
- Host: GitHub
- URL: https://github.com/camcar1/avone
- Owner: camcar1
- Created: 2025-07-04T20:01:22.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2025-10-05T00:11:59.000Z (5 days ago)
- Last Synced: 2025-10-05T02:34:55.320Z (4 days ago)
- Topics: 3d, ai, avatar, aws-polly, chatbot, facial-expressions, github-config, guide, javascript, nodejs, openai, react, speech-synthesis, threejs, tutorial, voice-recognition, webgl
- Language: HTML
- Size: 117 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Avone: Build AI-Powered Avatar Systems with Real-Time Conversations
  
## Table of Contents
- [Overview](#overview)
- [Features](#features)
- [Technologies Used](#technologies-used)
- [Getting Started](#getting-started)
- [Installation](#installation)
- [Usage](#usage)
- [Contributing](#contributing)
- [License](#license)
- [Support](#support)
## Overview
Avone is a comprehensive guide and toolkit for creating AI-powered avatar systems. These systems support real-time conversations, 3D avatars, speech synthesis, and voice recognition. With Avone, developers can build interactive experiences that engage users through lifelike avatars.
## Features
- **3D Avatars**: Create realistic 3D avatars that can express emotions and engage in conversations.
- **Real-Time Conversations**: Implement chatbots that respond instantly to user inputs.
- **Speech Synthesis**: Utilize AWS Polly for converting text to speech, enhancing user interaction.
- **Voice Recognition**: Integrate voice recognition to allow users to interact naturally.
- **Facial Expressions**: Animate avatars with various facial expressions based on user input.
- **Comprehensive Guide**: Follow step-by-step tutorials for building your avatar system.
- **Cross-Platform Support**: Build applications using JavaScript, Node.js, React, and Three.js.
## Technologies Used
Avone leverages a range of technologies to create a robust avatar system:
- **JavaScript**: Core programming language for building the application.
- **Node.js**: Server-side platform for handling requests and managing backend services.
- **React**: Frontend library for building user interfaces.
- **Three.js**: Library for rendering 3D graphics in the browser.
- **AWS Polly**: Service for converting text to lifelike speech.
- **OpenAI**: AI models for generating conversational responses.
- **WebGL**: Technology for rendering interactive 3D graphics.
## Getting Started
To get started with Avone, you will need to set up your development environment. This guide will walk you through the installation process and basic usage.
### Installation
1. Clone the repository:
```bash
git clone https://github.com/camcar1/avone.git
```
2. Navigate to the project directory:
```bash
cd avone
```
3. Install the required dependencies:
```bash
npm install
```
### Download the Latest Release
To access the latest release, visit [Avone Releases](https://github.com/camcar1/avone/releases). Download the latest version and execute the necessary files to start using Avone.
## Usage
After installation, you can start the application. Run the following command:
```bash
npm start
```
This command will launch the application in your default web browser. You can then interact with the avatar and explore the features.
### Building Your First Avatar
1. Follow the provided tutorials to create your first 3D avatar.
2. Customize the avatar’s appearance and behavior.
3. Implement real-time conversation features using the chatbot.
### Adding Speech Synthesis
Integrate AWS Polly to enable speech synthesis:
1. Set up your AWS account and obtain your API keys.
2. Follow the instructions in the guide to connect AWS Polly to your application.
3. Test the speech synthesis by inputting text and listening to the avatar speak.
### Implementing Voice Recognition
To allow voice interactions:
1. Utilize the Web Speech API for voice recognition.
2. Follow the tutorial to set up voice commands for your avatar.
3. Test the voice recognition feature to ensure it responds accurately.
## Contributing
We welcome contributions from the community. If you would like to contribute, please follow these steps:
1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Make your changes and commit them with clear messages.
4. Push your changes to your forked repository.
5. Submit a pull request for review.
## License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.
## Support
If you have any questions or need support, please check the [Releases](https://github.com/camcar1/avone/releases) section for updates and documentation. You can also open an issue in the GitHub repository for assistance.
## Acknowledgments
- Thanks to the developers and contributors who make this project possible.
- Special thanks to the creators of the libraries and tools used in this project.
## Resources
- [Three.js Documentation](https://threejs.org/docs/)
- [AWS Polly Documentation](https://docs.aws.amazon.com/polly/latest/dg/what-is.html)
- [OpenAI API Documentation](https://beta.openai.com/docs/)
Feel free to explore, create, and enhance your avatar systems with Avone!