https://github.com/olenaideole/auraai

Aura AI is a groundbreaking agent designed to translate token trading data into intuitive, human-understandable forms like text, images, music, and emotions. By integrating with Birdeye’s API, Aura collects market data, processes it through advanced AI models (including llm, image, and audio), and shares insights on Twitter in real-time.
https://github.com/olenaideole/auraai

docs eliza models processing twitter-api

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Aura AI is a groundbreaking agent designed to translate token trading data into intuitive, human-understandable forms like text, images, music, and emotions. By integrating with Birdeye’s API, Aura collects market data, processes it through advanced AI models (including llm, image, and audio), and shares insights on Twitter in real-time.

• Host: GitHub
• URL: https://github.com/olenaideole/auraai
• Owner: Olenaideole
• License: mit
• Created: 2024-11-20T09:02:20.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-11-20T10:18:07.000Z (over 1 year ago)
• Last Synced: 2025-07-09T16:07:45.695Z (11 months ago)
• Topics: docs, eliza, models, processing, twitter-api
• Language: Python
• Homepage: https://b_yhlgflhnlg8.v0.build/
• Size: 9.77 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
Aura AI: Translating Market Data into Human Experience

Aura AI is an innovative agent designed to transform raw token trading data into multisensory outputs that humans can intuitively understand. Using cutting-edge machine learning, Aura AI interprets market "buzz" and "vibes" to produce insightful words, evocative images, and even music. Think of it as the next evolution beyond infographics—an artistic, emotional lens on the pulse of trading activity.# AuraAi

🚀 Features

Data Translation: Converts trading metrics into human-readable insights.

Multisensory Outputs: Generates images, text, and music inspired by token trading trends.

Real-Time Analysis: Monitors market activity and posts interpretations live to Twitter.

Customizable: Choose tokens to track and analyze through the Treasure system.

🧠 How It Works

Data Retrieval: Pulls real-time trading data from the Birdeye API.

AI Models: Processes data with language models for text insights, generative image models, and music synthesis algorithms.

Emotion Mapping: Analyzes market sentiment and transforms it into relatable emotions and artistic forms.

Twitter Integration: Automatically shares generated content, allowing users to experience the market like never before.

📂 Repository Structure

├── /core/             # Eliza-based NLP processing and data handling  

├── /data/             # API scripts and raw trading data storage  

├── /models/           # AI models for text, image, and music generation  

├── /twitter/          # Scripts for Twitter API integration and automation  

├── /docs/             # Documentation and guides for users and contributors  

└── /tests/            # Unit tests for all modules  

🛠️ Getting Started

Clone the Repository

git clone https://github.com/yourusername/aura-ai.git  

cd aura-ai

Install Dependencies

Ensure Python 3.9+ and pip are installed.

Run:

pip install -r requirements.txt

Set Up APIs

Configure your API keys for Birdeye and Twitter in .env. Use env.example as a template.

Run Aura AI

python main.py

🌌 Vision

Aura AI redefines how we interact with trading data by shifting from raw numbers to emotional and sensory experiences. With Aura, trading data becomes a form of art, bridging the gap between markets and humanity.

💡 Contributing

We welcome contributions! Please read our Contributing Guide for more information.

📜 License

This project is licensed under the MIT License. See LICENSE for details.