codemeta.json

{
  "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
  "@type": "SoftwareSourceCode",
  "name": "AGI-Pipeline",
  "version": "1.2.0",
  "dateCreated": "2024-12-16",
  "dateModified": "2024-12-18",
  "datePublished": "2024-12-18",
  "keywords": [
    "Artificial General Intelligence (AGI)",
    "Natural Language Processing (NLP)",
    "Computer Vision (CV)",
    "Multi-Modal Processing",
    "Reinforcement Learning (RL)",
    "Real-Time Video Processing",
    "Data Augmentation",
    "Speech Recognition",
    "Text-to-Speech",
    "Machine Learning (ML)",
    "Data Science",
    "AI Pipeline",
    "Deep Learning",
    "Model Integration",
    "Cloud Deployment",
    "Interactive Visualization",
    "Voice Processing",
    "AI Applications",
    "Docker",
    "FastAPI"
  ],
  "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 a comprehensive and modular software framework designed to integrate various AI capabilities, including Natural Language Processing (NLP), Computer Vision (CV), Multi-Modal Processing, Reinforcement Learning (RL), and Real-Time Video Processing. This pipeline leverages state-of-the-art models and techniques to provide a robust and scalable solution for diverse AI tasks.",
  "type": "software"
}