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gif

Disaster Response Pipeline Project

Aim:

The Objective of this Project was to develop a web app where the emergency workers can infer form a help message the possible categories the message belongs to. to be able to redirect necessary support "shelter", "Food" etc

Demo

Dependencies

Python 3 and the following Python libraries installed:

NumPy
Pandas
Matplotlib
Json
Plotly
Nltk
Flask
Sklearn
Sqlalchemy
Sys
Re
Pickle

Instructions to run:

  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://0.0.0.0:3003/ with udacity spaceid and domian

Results:

I was able to train the model and deploy the model

Data Source:

Figure Eight API

Acknowlegements

Udacity for the project template and Figure Eight for the data