md-hameem/Optimizing-Dispute-Management-Processes-in-Banks

This project aims to optimize banking dispute management by leveraging AI, Machine Learning (ML), Big Data, and Natural Language Processing (NLP). These technologies automate dispute categorization, analyze unstructured data, and predict potential issues, helping banks improve resolution times, enhance accuracy, and provide personalized solutions.

22
/ 100
Experimental
No Package No Dependents
Maintenance 13 / 25
Adoption 0 / 25
Maturity 9 / 25
Community 0 / 25

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Jupyter Notebook

License

MIT

Last pushed

Mar 12, 2026

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