Disaster Response Pipeline Project

This project (part of the Udacity Nanodegree Program) aims to help agencies in the event of a natural disaster. The agencies can use the developed artificial intelligence to automatically categorize incoming text messages. Once the messages are categorized they can be routed to the responsible teams. This automatization significantly reduces manual efforts in this regard and let the agencies focus on actually helping the people in need!

Instructions:

0. Activate virtual environment (or install the listed dependencies source venv/bin/activate

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 etl_pipeline.py data/disaster_messages.csv data/disaster_categories.csv data/disaster_response.db
   • To run ML pipeline that trains classifier and saves python train.py data/disaster_response.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/

Dependencies:

(venv) at00202766@atca-050132 disaster_response % pip3 list Package Version

---

click 8.1.3 contourpy 1.0.6 cycler 0.11.0 Flask 2.2.2 fonttools 4.38.0 greenlet 2.0.0 importlib-metadata 5.0.0 itsdangerous 2.1.2 Jinja2 3.1.2 joblib 1.2.0 kiwisolver 1.4.4 MarkupSafe 2.1.1 matplotlib 3.6.2 nltk 3.7 numpy 1.23.4 packaging 21.3 pandas 1.5.1 Pillow 9.3.0 pip 22.3.1 plotly 5.11.0 pyparsing 3.0.9 python-dateutil 2.8.2 pytz 2022.6 regex 2022.10.31 scikit-learn 1.1.3 scipy 1.9.3 setuptools 60.10.0 six 1.16.0 sklearn 0.0.post1 SQLAlchemy 1.4.42 tenacity 8.1.0 threadpoolctl 3.1.0 tqdm 4.64.1 Werkzeug 2.2.2 wheel 0.38.4 zipp 3.10.0

Files

• disaster_messages.csv ... dataset containing translated tweets relating to some disaster situation
• disaster_categories.csv ... raw data listing the true categories of every tweet (label,classification) in disaster_messages.csv
• train.py ... script used for training the model
• etl_pipeline.py ... script used for preprocessing the data (disaster_categories.csv/disaster_messages.csv)
• run.py ...script used to launch the webapp