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@article{163583,
        author = {Gaurav Natekar and Harshali Kadam and Nawaf Lokare  and Aditya Bhuran  and Shudhodhan Bokefode },
        title = {Credit Card Fraud Detection and Rectification - A Web App},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {11},
        pages = {1803-1807},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=163583},
        abstract = {The Credit Card Fraud Detection Web App is an advanced online platform designed to combat the growing threat of fraudulent activities related to Credit Card in financial transactions. Leveraging cutting-edge Artificial Intelligence (AI) algorithms and machine learning techniques we detect the transaction is Fraud or not The web application provides a robust and proactive solution to identify, prevent and also rectify the unauthorized credit card usage in real-time. We use a variety of machine learning models/classifiers to accomplish this, such as Random Forest (RF), Logistic Regression (LR), Naive Baiye(NB)},
        keywords = {Random Forest (RF), Logistic Regression (LR), Naive Baiye(NB)},
        month = {},
        }