Disaster Response Pipeline Project

A Machine Learning Message classifier trained on messages received during disasters to classify them according to their respective category(e.g. health, medicine, relief, etc.)

Instructions:

1. Run the following commands in the project's root directory to set up your 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

2. Run the following command in the app's directory to run your web app. python run.py

3. Go to http://0.0.0.0:3001/

Important Files:

1. data/process_data.py: ETL Pipeline used for data preperation
2. models/train_classifier.py: Machine Learning Pipeline used to build, train and test model
3. app/run.py: Python file to instantiate web application
4. app/templates/*.html: HTML files for web application