This project is insipred by https://arxiv.org/pdf/2503.18067v1. We attempt to re-create and deploy this model as a RESTful API.
KEY QUOTE 1 from research paper = "explaining why an algorithm predicts a lengthy wait for a hospital procedure or foresees a bank customer declining a loan offer is vital for offering valuable insights to stakeholders and clients."
INSPIRED BY - NAP LSTMbased model
follows a methodology akin to the general self-explaining framework (Alvarez Melis and Jaakkola, 2018) and its more recent adaptation to the sufficient explanation setting (Bassan et al., 2025).
Code for the original model - https://github.com/verenich/ProcessSequencePrediction/tree/master
Architecture of the LSTM model
