codemeta.json

{
  "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
  "@type": "SoftwareSourceCode",
  "name": "AGI-Pipeline",
  "version": "1.0.1",
  "dateCreated": "2024-12-16",
  "dateModified": "2024-12-17",
  "datePublished": "2024-12-17",
  "keywords": [
    "Artificial General Intelligence (AGI)",
    "Natural Language Processing (NLP)",
    "Computer Vision (CV)",
    "Speech Processing",
    "Whisper",
    "YOLOv8",
    "FLAN-T5",
    "FastAPI",
    "Docker",
    "JWT",
    "EAIP"
  ],
  "license": "MIT",
  "repository-code": "https://github.com/OneFineStarstuff/AGI-Pipeline",
  "doi": "10.5281/zenodo.14504697",
  "author": {
    "@type": "Person",
    "givenName": "Kyaw T.",
    "familyName": "Tun",
    "orcid": "https://orcid.org/0009-0003-9861-5125"
  },
  "message": "If you use this software, please cite it using the metadata from this file.",
  "abstract": "The AGI (Artificial General Intelligence) Pipeline is an enterprise-grade multimodal framework designed to integrate core AI capabilities, including Natural Language Processing (NLP), Computer Vision (CV), and Speech Processing. Key features include high-quality text generation with FLAN-T5, real-time object detection with YOLOv8, high-accuracy speech-to-text with Whisper, and offline text-to-speech with Pyttsx3. The system is built with FastAPI, secured with JWT authentication, and adheres to the Enterprise AI Agent Interoperability Protocol (EAIP).",
  "type": "software"
}