Hacking For Education
Creating a stock based app
The project uses AI technology and GPT3.5 Turbo (we did not want to pay for 4.0) to give advice about general trends regarding a stock, and its overall trend.
How we built it
Will and I decided to learn an abundance of things. First off, we used Semantic Kernel, Microsoft's open source AI software to allow for the use of the GPT 3.5 Turbo Model. Then we had to prompt engineer to cater a response that is useful to users. Then, we learned how to use Flask to create a local hosted server which we would like to take online to create a web based app.
Challenges we ran into
Will and I had no experience in CSS or HTML, so this was a new experience for us. We used a lot of guides and spent a lot of time researching. Also, at some point we tried to use react, and while it didnt pan out we would still like to try it out another time. Also, the prompt engineering and semantic kernel program don't have a lot of info, so there was a steep learning curve.
Accomplishments that we're proud of
Everything, we didnt think we would be able to learn and create a functioning product in 12 hours, and we did a lot including dipping our toes into many languages we have never used and trying out AI technologies.
What's next for Stocked Sea Traders
As mentioned, we want to integrate stock market graphs by scraping pages, Link people to the stock and want to go online as well
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