Hate Speech Detector

We're working on a project to address the problem of hate speech using AI technology. Our goal is to create a system that can identify and filter out harmful content of the given text.

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Inspiration

In today's digital age, social media platforms like Twitter, Facebook, Instagram, and YouTube have become breeding grounds for hate speech. It has caused many instances of hate and division among users, communities etc. Our aim is to make these online spaces safer and more inclusive for everyone.

What it does

Our project takes a text (which may be comment from social platform or any other user feedback), it analyse and give us the response on how much it rates in hate speach.

How we built it

We built it using python. We use the following library:

  1. Pandas
  2. Numpy
  3. Scikit-learn: It provided a wide range of algorithms and tools for building, training, and evaluating models.
  4. Nltk: It helped me break down text into smaller parts, remove unnecessary words, and understand the overall meaning of the text

Challenges we ran into

It was a challenge to understand why DecisionTreeClassifier does not work as it was saying .lower is not function then we understood that we need to clean info.

Accomplishments that we're proud of

Its great that I made my first AI project and learn't about he basics in just 2 days

What we learned

I learn'd about ML, Basic Concepts of NLP, Vectorization and Decison Tree Classifier...

What's next for Hate Speach Detector

  1. Create an http API so platform can easily integrate our model in their service.
  2. Making a web service
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