praveen5733 / disasterresponsepipeline

Disaster Response Pipeline Project

Introduction

In this project, the pre-labeled disaster messages will be used to build a disaster response model that can categorize messages received in real time during a disaster event, so that messages can be sent to the right disaster response agency.

This project includes a web application where disaster response worker can input messages received and get classification results.

Files in the repository

Folder: app

1. template
   • master.html # main page of web app
   • go.html # classification result page of web app
2. run.py # Flask file that runs app

Folder:data

1. disaster_categories.csv # data to process
2. disaster_messages.csv # data to process
3. process_data.py

Folder:models

1. train_classifier.py
2. classifier.pkl # saved model

README.md

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. Go to app directory: cd app

3. Run your web app: python run.py