{
    "@context": "https://doi.org/10.5063/schema/codemeta-2.0",
    "@type": "SoftwareSourceCode",
    "name": "White-Box Cartoonization",
    "description": "An AI-powered web application that transforms photographs into cartoon-style images using deep learning, utilizing a white-box representation framework and Generative Adversarial Networks (GANs).",
    "identifier": "WHITE-BOX-CARTOONIZATION",
    "license": "https://spdx.org/licenses/MIT.html",
    "programmingLanguage": [
        "Python",
        "JavaScript",
        "CSS",
        "HTML"
    ],
    "author": [
        {
            "@type": "Person",
            "givenName": "Amey",
            "familyName": "Thakur",
            "id": "https://orcid.org/0000-0001-5644-1575",
            "affiliation": {
                "@type": "Organization",
                "name": "Terna Engineering College"
            }
        },
        {
            "@type": "Person",
            "givenName": "Hasan",
            "familyName": "Rizvi",
            "id": "https://github.com/rizvihasan",
            "affiliation": {
                "@type": "Organization",
                "name": "Terna Engineering College"
            }
        },
        {
            "@type": "Person",
            "givenName": "Mega",
            "familyName": "Satish",
            "id": "https://orcid.org/0000-0002-1844-9557",
            "affiliation": {
                "@type": "Organization",
                "name": "Terna Engineering College"
            }
        }
    ],
    "dateReleased": "2021-08-28",
    "codeRepository": "https://github.com/Amey-Thakur/WHITE-BOX-CARTOONIZATION",
    "developmentStatus": "complete",
    "runtimePlatform": [
        "Python 3.8+",
        "TensorFlow 2.x",
        "Flask 3.1.2"
    ],
    "applicationCategory": "Artificial Intelligence / Image Processing",
    "keywords": [
        "White-Box Cartoonization",
        "Generative Adversarial Networks",
        "GANs",
        "TensorFlow",
        "Flask",
        "Image Stylization",
        "Machine Learning",
        "Computer Engineering"
    ]
}