CITATION.cff

cff-version: 1.2.0
message: "If you use this software, please cite it using the metadata from this file."
title: "AGI-Pipeline"
version: 1.0.1
date-released: '2024-12-17'
license: MIT
repository-code: "https://github.com/OneFineStarstuff/AGI-Pipeline"
doi: 10.5281/zenodo.14504697
authors:
  - given-names: "Kyaw T."
    family-names: "Tun"
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. This pipeline leverages state-of-the-art models and adheres to the Enterprise AI Agent Interoperability Protocol (EAIP) to provide a robust and scalable solution.

  Key features include:
  
  1. Natural Language Processing (NLP):
     - Utilizes the FLAN-T5 model for high-quality text generation and conditional responses.

  2. Computer Vision (CV):
     - Employs YOLOv8 for real-time object detection and image analysis.

  3. Speech Processing:
     - Incorporates OpenAI's Whisper for high-accuracy speech-to-text transcription.
     - Features offline text-to-speech synthesis using Pyttsx3.

  4. Security and Interoperability:
     - Implements JWT-based authentication for secure API access.
     - Complies with EAIP specifications, including gRPC support and SPIFFE/SPIRE identity management.

  5. Scalable Deployment:
     - Built with FastAPI for high-performance asynchronous request handling.
     - Fully containerized with Docker for seamless deployment across cloud environments.

keywords:
  - Artificial General Intelligence (AGI)
  - Natural Language Processing (NLP)
  - Computer Vision (CV)
  - Speech Processing
  - Whisper
  - YOLOv8
  - FLAN-T5
  - FastAPI
  - Docker
  - JWT
  - EAIP