Bully-Buster

Inspiration

We wanted to stop cyber-bullying in this world and be a change for good.

What it does

It scrapes Twitter for tweets and classifies them to detect cyber-bullying.

How we built it

We used Tweepy to access the Twitter API, and created a Naive Bayes classifier.

Challenges we ran into

Getting the classifier to work as intended with high accuracy was a big challenge.

Accomplishments that we're proud of

Learning how to make a scrape bot and analyse the output using machine learning.

What we learned

How to create a bot that scrapes Twitter for the most recent tweets.

What's next for Bully-Buster

Getting the classifier to work fully as intended and in the future, get it to determine the nature of the cyber-bullying so that the resulting actions can be specialised. Keep track of accounts that are considered to bully often and report them to Twitter to keep the community safe.

Built With

• python
• tweepy