Inspiration
So while we researched we got to know about financial frauds happening between a Bank's Financial Advisor and a Client - so we thought to resolve that.
What it does
Our project tends to solve frauds happening the financial industry. A Financial Advisor / Client can simply upload a audio file of there recordings and boom and it generates all the required analytical data like graphs, summary and the transcript of the audio in few seconds. Traditionally this used to take about months to be solved but with Fin Wise it's only a few seconds now.
How we built it
We built this project as a team of 2 using tech like React, React native, NodeJS, tailwind and Open AI for Summary purposes and Deepgram to analyse audio and make use of audio models.
Challenges we ran into
we ran into challenges like hosting the api, getting our data in a json format, differentiating among the speaker, etc.
Accomplishments that we're proud of
To be able to pull this off on a night was just on paper for us, but at the moment we are at a point where this is actually presentable. We are really proud of being to work as a team on this one, and come very near to what we thought of!
What we learned
We learned alot, this hackathon particulary, we explored different areas of tech eg: audio modelling, text to speech, prompting well and even more in terms of team effort and soft skills.
What's next for Fin Wise
After this hackathon we plan to add more features in this and improve this product in terms of
- UI Design
- Data Processing
- Prompt Engineering
- Being able to upload multtiple files
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