Disaster Response Pipeline Project

Instructions:

1. Install dependencies:

   • pandas
   • sqlalchemy
   • nltk
   • sklearn
   • plotly
   • flask

2. 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

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

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

Extras

Example message classification:

Insights: