Inspiration
We were motivated by QRT involvement in different markets, so we decided to make a tool to help investors with little experience.
What it does
Takes a question with input data, makes decision on the Data and gives feedback.
How we built it
Using JavaScript, Python (Flask) and LM studio to host locally.
Challenges we ran into
Learning Flask Framework. Understanding how to connect the LM studio to the Flask Backend using APIs.
Accomplishments that we're proud of
learning how to use API's for language module in a short time.
What we learned
understanding the full Stack development.
What's next for QRT Martket Summarization
have an advanced UI that help the uses make the best investment.
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