Inspiration
Thousands of people across the world fall victim to loan sharks and one-sided contracts. As a group, we found our inspiration from the show Bloodhounds. Bloodhounds is a show about two boxers who fight a despicable loan shark after falling victim to one of his schemes. Since this hackathon is about creating services for societal good, we wanted to create a tool that vulnerable families can use to protect their finances and their peace. The name, ORCAi alludes to the fact that orcas are the natural predator of sharks, in this case loan sharks.
What it does
ORCAi allows the user to submit a URL to their contract pdf and allow it to be analyzed by Chat-GPT. Chat-GPT identifies discrepancies in the contract and reports them back to the user to help them make an informed decision whether to follow through with this agreement.
How we built it
We built this primarily on Bubble. We had to integrate OpenAi-GPT3 Api and PDF.Co API to both process the pdf into a text file and feed that into Chat-GPT to analyze the document.
Challenges we ran into
One of the biggest challenges we faced was navigating Bubble. None us have any prior experience using this platform, so it took us a great deal of time figuring out how to create pages, utilize the workflow tool, and add more elements to the pages. Another challenge we faced was integrating APIs from different sources. We needed to prompt ChatGPT with the contents of the PDF file. We figured out we can do this by including key values in the cURL code. Finally, our last obstacle we had to overcome was figuring out how to process the PDF information and make it a text file. We tried to make it where the user can upload the file, however we soon found out that only a pdf URL can be used to turn it into a text file.
Accomplishments that we're proud of
We are the most proud of our idea. We really believe that ORCAi is a unique idea that helps communities that have been overlooked when it comes to implementing technology to solve real world problems. We really love how we were able to create something that can give strength to so many across the world. Also, we are proud of ourselves for sticking through this project. It was frustrating having to navigate this on our own, but also fulfilling to creating a project.
What we learned
We learned how to use bubble, how to get different plug ins to talk to each other, and more about what constitutes a fair and unfair contract.
What's next for ORCAi
In the future we hope that our service creates a revised contract instead of just reporting the contract's faults. We also hope to create a chatbot where users can ask it any legal questions in and get answers in real time. Finally, we hope to expand this service to give feedback on contracts, legal documents, and other forms of written agreements.
Built With
- bubble
- openai-gpt3
- pdf.co
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