Disaster Response Pipeline Project

Table of Content

1. Objective and a short summary
2. Whole Structure process
3. Running the file
4. Moving forward
   • (upcoming) what can we do together

Objective

This project aim to build a NLP model to categorize the message in a real time . The dataset contained already labelled tewwts and messages from real disasters. and also the project is a part of udacity datascience course .

This project is mainly compost of three parts :

1. Processing part

   • load the data and categories the dataset
   • it also merge two dataset
   • and then stores in a SQLite database

2. Machile learning Pipeline

   • load the data from the sqlite data
   • splits it for training and testing and do respective jobs
   • At last export the final model as a pickle model

3. Running a web app which will predict the output.

Setup

First lets see the structure of the file :- . ├── app
│ ├── run.py # Flask file that runs app │ └── templates
│ ├── go.html # Classification result page of web app │ └── master.html # Main page of web app
├── data
│ ├── disaster_categories.csv # Dataset including all the categories
│ ├── disaster_messages.csv # Dataset including all the messages │ └── process_data.py # Data cleaning ├── models │ └── train_classifier.py # Train ML model
|── Rough
| # Unneccesary file used for prototyping and rough work
└── README.md

Objective

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/

• the output should look like this

• the preview of my webpage

• the output will be like this

Moving Forward

* I am looking forward to create a project woth colabaration with somepeople.And also The image below is just my imagination , i am open for suggestion and change