Spam Detection

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

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

Project summary :

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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).

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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