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@article{172179,
        author = {HEMANTH S K and SRUSHTI S K and PRANITHA R SHEKAR and ARUSH U RAI},
        title = {AI vs Human : Academic Essay Authenticity Challenge},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {8},
        pages = {2323-2327},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=172179},
        abstract = {This paper presents the development and evaluation of an AI-powered system designed to identify whether a given essay is AI generated or human-written. The growing sophistication of natural language generation models, such as OpenAI’s GPT series, has led to a surge in content that closely mimics human writing styles. This rapid advancement has raised critical questions about authenticity, intellectual integrity, and the trustworthiness of textual material across various industries. Our proposed solution integrates a Flask backend framework with AWS Textract for text extraction and OpenAI's GPT for language analysis. It provides a user-friendly interface where individuals can upload images of essays—handwritten or printed—then automatically extracts and classifies their textual content.},
        keywords = {Essay Validator, AI Detection, Flask Framework, AWS Textract, OpenAI GPT, Text Extraction, Image Upload, Natural Language Processing, Image Processing.},
        month = {January},
        }