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Simple spam detection app integarted with Flask and deployed over heroku.

License: The Unlicense

Python 40.53% HTML 59.47%
naive-bayes-classifier heroku-deployment spam-detection

spam_detector's Introduction

Spam Detection

Simple spam detection app integarted with Flask and deployed over heroku.

URL : https://spam-detector20.herokuapp.com/

Project summary :

==============================================================

The goal of this was to a spam detection model in python to automatically classify a message as either spam or ham(legitimate messages). Hosting on Heroku using Flask (a lightweight web application framework).

===============================================================

input

output

Contents

  • app.py - main file
  • templates - This folder contains html for home and result page
  • models - This folder contains predict script and pickle file for nlp model andCountVectorizer
  • src- This folderconatins source file for trainning the model.
  • requirement.txt- contains requirement file to run the model on cloud.
  • proc file -it specifies the commands that are executed by the app on startup

Source :

Dataset: https://www.kaggle.com/uciml/sms-spam-collection-dataset

https://www.sciencedirect.com/science/article/pii/S2405844018353404

https://medium.com/@davedodea/how-to-deploy-a-python-app-to-heroku-12289912f29c

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