Inspiration

To stop the hatred tweets that is the source of many violent activities and hatred among communties.

What it does

Classify the tweet if it spreads hate or slang intent

How I built it

I first trained and tested model using Python on Jupyter Nitebook then merged the model to work as a web application in Django

Challenges I ran into

Learning ML Model and Deploying Model using Django(Pickle)

Accomplishments that I'm proud of

Achieved 97% Accuracy in classification

What I learned

I learned training SGD Classifier Machine Learning Model. I also learned implementing ML Model in a Django APP using Pickle Library and dumped model. I also loved working with Django and Python.

What's next for lovetweets

Fetch Real Time Tweets using API and classify them. Implement Topic modelling and topic classifier.

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