Keywords: ATM, Cash
This project aims to employ deep learning methods to forecast ATM cash demand. By analyzing historical data and patterns, it seeks to create a model capable of predicting future cash requirements accurately. This forecasting tool could aid financial institutions in optimizing cash supply, ensuring sufficient availability while minimizing excess holdings, ultimately enhancing ATM service efficiency and customer satisfaction.
Aim
To Forecast ATM Cash Demand Using DL Techniques
Objective
Build DL model for precise ATM cash demand prediction. Implement neural networks to capture demand patterns. Offer banks an automated tool for optimal cash supply planning.
ANN Technique used
Jupyter, Google Collab
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