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Spam SMS Classifier Web-App

Concept Behind It:

It is a end to end Natural Language Processing project.

Model is made on Spam SMS Collection dataset.
Starting with pre-processeing like remove stopwords, Vectorization, Porter Stemmer etc.

Training model with Multinomial Naive Bayes algorithm.

Finally taking pickle file of our model for later use in Flask.

Initialise Flask app, and setting required function's connected with our model.
Used good looking template with fine css for our page.

Finally deployed on Heroku.

Skills Behind It:

Time to Connect

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Arpit Somani