First, you need a dataset of previous events. Then, you need to process the data, followed by performing data engineering or feature engineering. After that, choose a model to train, and finally, deploy the model into real-time applications.

Let me provide some references on existing work:

1. Earthquake Predictions: https://www.kaggle.com/code/mahadevmm9/earthquake-prediction

2. All Earthquakes Dataset from 1990-2023: https://www.kaggle.com/datasets/alessandrolobello/the-ultimate-earthquake-dataset-from-1990-2023

3. Book Geo-information for Disaster Monitoring and Management

4. Earthquake Prediction Using Machine Learning: https://ieeexplore.ieee.org/document/10541482/