Inspired by an increase in public interest in data privacy and protection. Also, by our unwillingness as college students to read the terms and conditions before clicking 'I agree'.
What it does
This google chrome extension checks for readability, complexity and polarity by using APIs, models, as well as summarization algorithms to rank the previously mentioned parameters out of 5. Then, we average the scores and give users a 'PrivaSee Rating' of their platforms' policies.
How we built it
We began by researching different APIs and algorithms that are public/open-sourced. After realizing that we could use existing sources to make our product, we started working on the frontend. We spent our time evenly between the frontend and backend.
Challenges we ran into
FemHacks is our team's first hackathon. This was also the first time we were building a chrome extension, so we were challenged by the frontend design and coordination between backend and frontend. Moreover, the time constraint did not allow us to develop the backend fully.
Accomplishments that we're proud of
What we learned
We got a lot more exposure to the language mentioned before as well as working on projects in a team.
What's next for PrivaSee
We hope to expand it and make it more dynamic, as well as allow more users to customize it according to their preferences. Also, making it more a engaging frontend, with a more developed backend.