nobias

Inspiration

The first thing we noticed when we got here was the berkeley california paper, and how it made sure to put opinionated at the top of the paper. Our inspiration for Nobias came from the growing need to address misinformation and bias in consumption. We noticed the increasing challenges faced by individuals in obtaining unbiased information and wanted to create a solution that promotes critical thinking and diverse perspectives.

What it does

Nobias is an innovative platform that helps users analyze and understand the biases present in online content. It utilizes advanced natural language processing techniques such as string embedded transformation to identify and quantify emotions in articles, news, and social media posts. The platform provides users with valuable insights into the potential biases within the content they consume, empowering them to make more informed decisions.

How we built it

Nobias is built with Python, FastAPI, TypeScript, React, HTML, CSS, OpenAI, Hume.

Challenges we ran into

Too many to count

Accomplishments that we're proud of

As beginners we are proud of creating a finished product using an LLM, We are proud to have created a functional and user-friendly platform that addresses the complex issue of bias detection in online content. Furthermore, we successfully integrated various data sources and APIs, providing a comprehensive analysis of biases across different platforms.

What we learned

Throughout the development of Nobias, we gained valuable insights into natural language processing. We deepened our understanding of web technologies and user interface design, ensuring a intuitive, and simple interface that allows the user to view information with ease.

What's next for nobias

Implementing a fact checking functionalities that allows for better accuracy. Hosting the site live so we can provide that allows users a safe and objective analysis of media.

Built With

• css
• fastapi
• html
• hume
• javascript
• openai
• python
• react
• typescript