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@article{185658,
        author = {Dr.Ganesh Gorakhnath Taware and Ms.Rajshree Maruti Jadhav and Ms.Reshma Kashinath Hulge and Ms.Gauri Vinod Deshmukh and Ms.Harshada  Sharad Aher},
        title = {Review On Detecting AI-Generated Contents Using Artificial Intelligence and Machine Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {5},
        pages = {2248-2251},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=185658},
        abstract = {The project aims to develop an AI-powered detection system capable of identifying whether a given text is written by a human or generated by an AI model. The system will use Natural Language Processing (NLP) techniques and Machine Learning/Deep Learning classifiers to analyze linguistic patterns, semantic structures, and statistical features of the content. Key technologies include Python, Scikit-learn, TensorFlow/ PyTorch, and NLP libraries like NLTK and Hugging Face Transformers. The system will be trained on a dataset containing both AI- generated and human-written samples. Evaluation metrics such as accuracy, precision, recall, and F1-score will measure performance. This project contributes to fields like academic validation, content moderation, and fake news detection, ensuring trustworthy digital ecosystem.},
        keywords = {},
        month = {October},
        }