JamZ

Inspiration

We were discussing about we don't like long readings for school. The conversation shifted to long terms and service agreements, and how nobody reads those. We talked about how those longs terms have pretty important things in them, and it would be convenient if there was a way to condense it to make it easier for people to read. We decided to make our app the solution to that problem, and have it be used for all legal documents.

What it does

It prompts the user for a legal document file, or text, and uses AI to simplify the inputted text, to make it easier for the user to read and understand

How we built it

We first made the UI on Figma, to have an idea on how the site should look like. Simultaneously, we worked on the back end, trying to get the actual function working. We used the Next.js framework, coding in javascript, and typescript.

Challenges we ran into

We could not figure out how to implement a pdf to text converter into the site. Certain document lengths were too long for the AI to process. We had to research about the legality about the user submitting legal documents.

Accomplishments that we're proud of

We are proud that we were able to integrate the AI into our site. We are proud that it works.

What we learned

We learned a lot about front-end development, and how to style the site well.

What's next for JamZ

Integrating the PDF to text converter. Improving the document length that the AI can process. Expand to not just PDF and text, but possibly image and video files.

Built With

• figma
• javascript
• nextjs
• openai
• typescript
• visual-studio