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@article{203109,
        author = {Srushti Gole and Shreyash Bhosale and Satyam Lad and Priyanka Bhandalkar and Om Kudale},
        title = {ML Smart Message Detector: Real-Time Message Threat Detection in Digital Communication},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {10212-10216},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=203109},
        abstract = {Digital messaging has expanded the surface for abuse through spam, phishing, and fraud. This paper outlines the development of the ML Smart Message Detector, a real-time, lightweight web application built using Flask, Scikit-learn, and classical NLP techniques. By utilizing a TF-IDF and Naive Bayes pipeline complemented by confidence scoring and sentiment analysis, the system achieves robust text classification while optimizing for deployment in resource- constrained environments. Key limitations and future integration with transformer architectures like BERT are also discussed.},
        keywords = {template, Scribbr, IEEE, format, SMS Spam, Machine Learning, Threat Detection},
        month = {May},
        }