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","archived":false,"fork":false,"pushed_at":"2024-11-20T10:18:07.000Z","size":10,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-07-09T16:07:45.695Z","etag":null,"topics":["docs","eliza","models","processing","twitter-api"],"latest_commit_sha":null,"homepage":"https://b_yhlgflhnlg8.v0.build/","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Olenaideole.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-11-20T09:02:20.000Z","updated_at":"2025-01-11T09:45:51.000Z","dependencies_parsed_at":"2024-11-20T11:53:31.842Z","dependency_job_id":null,"html_url":"https://github.com/Olenaideole/AuraAi","commit_stats":null,"previous_names":["olenaideole/auraai"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Olenaideole/AuraAi","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Olenaideole%2FAuraAi","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Olenaideole%2FAuraAi/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Olenaideole%2FAuraAi/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Olenaideole%2FAuraAi/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Olenaideole","download_url":"https://codeload.github.com/Olenaideole/AuraAi/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Olenaideole%2FAuraAi/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":266963279,"owners_count":24013020,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-07-25T02:00:09.625Z","response_time":70,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["docs","eliza","models","processing","twitter-api"],"created_at":"2025-03-29T01:21:11.861Z","updated_at":"2026-05-18T00:03:35.278Z","avatar_url":"https://github.com/Olenaideole.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"Aura AI: Translating Market Data into Human Experience\n\nAura 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\n\n🚀 Features\n\nData Translation: Converts trading metrics into human-readable insights.\nMultisensory Outputs: Generates images, text, and music inspired by token trading trends.\nReal-Time Analysis: Monitors market activity and posts interpretations live to Twitter.\nCustomizable: Choose tokens to track and analyze through the Treasure system.\n\n🧠 How It Works\n\nData Retrieval: Pulls real-time trading data from the Birdeye API.\nAI Models: Processes data with language models for text insights, generative image models, and music synthesis algorithms.\nEmotion Mapping: Analyzes market sentiment and transforms it into relatable emotions and artistic forms.\nTwitter Integration: Automatically shares generated content, allowing users to experience the market like never before.\n\n📂 Repository Structure\n├── /core/             # Eliza-based NLP processing and data handling  \n├── /data/             # API scripts and raw trading data storage  \n├── /models/           # AI models for text, image, and music generation  \n├── /twitter/          # Scripts for Twitter API integration and automation  \n├── /docs/             # Documentation and guides for users and contributors  \n└── /tests/            # Unit tests for all modules  \n\n🛠️ Getting Started\n\nClone the Repository\ngit clone https://github.com/yourusername/aura-ai.git  \ncd aura-ai\nInstall Dependencies\nEnsure Python 3.9+ and pip are installed.\nRun:\npip install -r requirements.txt\nSet Up APIs\n\nConfigure your API keys for Birdeye and Twitter in .env. Use env.example as a template.\nRun Aura AI\npython main.py\n\n🌌 Vision\n\nAura 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.\n\n💡 Contributing\n\nWe welcome contributions! Please read our Contributing Guide for more information.\n\n📜 License\nThis project is licensed under the MIT License. See LICENSE for details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Folenaideole%2Fauraai","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Folenaideole%2Fauraai","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Folenaideole%2Fauraai/lists"}