FinTilligent

Inspiration

We wanted to do the Infosys challenge and make a RAG based agent, so what we came up with was an "Ethical Investing Bot", that would tailor good investment prospects fined tuned to a users selected values. This evolved to what is now Fintelligent.

What it does

It surveys the user on what preferences they may have with their stocks.

How we built it

We built it with JavaScript, Python, JSON, Ollama, and HTML/CSS.

Challenges we ran into

We weren't able to create a RAG based intelligence model because we ran into the issues of the speed ollama would read the data at.

Accomplishments that we're proud of

We worked super hard on this project and learning very quickly on how to use multiple APIs and frameworks.

What we learned

We learned that even if the sky is not the limit the time very much is.

What's next for Fintilligent

Incorporating more accurate data and creating an automatic workflow with Ollama.

Built With

• git
• github
• html/css
• javascript
• json
• ollama
• python
• visual-studio
• yfinance