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Explore innovative approaches to fraud detection in finance using NLP-driven techniques, including TF-IDF, BERT, and XGBoost. Highlights include a Macro F1 score of 0.87, advanced dashboards, and explainable AI for support. The project emphasizes sentiment analysis, infrastructure development, and cross-sector applications for robust fraud prevention.

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