CyberGaruna

Live cyberbullying/hate speech detection on twitter with integrated portal.

This Project was developed for the VIEH Internship (batch 6) by the team CyberGaruna
Team members
@Sarveshgupta20
@navyaswarup20
@Akondi956

Todo

1. Install the required packages mentioned in Required_Packages.txt.
2. Run the Training.py to generate Classifier and Vectorizer.
3. Add Get_realtime_tweets.py to fetch real time tweets (or just run to generate real time tweets).
4. Check if the Ml Model is classifying the real-time tweets or not.
5. If the above steps give no errors, Run the app.py.

Future Updates

1. Make Ml model classify even the registered complaints.
2. Add regex to input fields.

NOTE

Add the tweepyApi credentials and check the paths at which files are saved and loaded.

Contribs

Ml model is refered from https://github.com/dhavalpotdar/detecting-offensive-language-in-tweets

Screenshots