Disaster Response Pipeline Project

This project aims at analyzing disaster messages using ETL, ML and NLP pipeline.

The project consists of 3 phases:

1- Extracting, transforming and loading the data, then, preprocessing data to be ready for the modeling phase.

2- Modeling the data to classify the disaster data messages through ML and NLP pipelines to automate the process.

3- Building a simple web app to visualize the results

Instructions to run the project

Run the following commands in the project's root directory to set up the database and model.
- To run ETL pipeline that cleans data and stores in database python data/process_data.py data/disaster_messages.csv data/disaster_categories.csv data/DisasterResponse.db
- To run ML pipeline that trains classifier and saves python models/train_classifier.py data/DisasterResponse.db models/classifier.pkl
Run the following command in the app's directory to run the web app. python run.py
Go to http://0.0.0.0:3001/