unbias

Inspiration

We noticed the lack of AI integration in web browsers and took the opportunity to fill that vacuum with an innovative project. One of the primary ways in which people interact with web browsers, is by writing content. We leveraged the power of AI help people communicate on the web.

What it does

The browser extension leverages three different types of AI to improve communication on the web. The extension has a sophisticated classification model to help users determine whether they are writing in sufficient complexity (or simplicity) for their intended audience. The extension also performs sentiment analysis to help users identify whether (and how much) their speech effectively communicates what they are saying in a respectful and positive manner. Finally, the extension makes use of the power of generative AI to help users better express their perhaps non-agreeable opinions in a friendlier way.

How we built it

We created the frontend of the extension using javascript, html, and css. Our backend and API was built using FastAPI and together.ai's Together API

Challenges we ran into

There are no external frameworks for developing web extension technologies, so it was an inconvenience to have to develop everything using vanilla javascript, html and css.

Accomplishments that we're proud of

We are very proud of the fact that we were able to leverage so many different types of AI, effectively, in such a short amount of time.

What we learned

We learned how to build an API using FastAPI and we also learned about the intricacies and practices of developing extensions for web browsers such as Chrome.

What's next for unbias

We want to improve our extension by adding new features such as providing a variety of options in which the extension can rephrase text in different tones.

Built With

• css
• fastapi
• html
• javascript
• nltk
• python
• together.ai