Inspiration

Exploring ways to provide value to customers wanting to invest

What it does

Analyse and compile performance of a company, to give user advance information on a company based on relevant data. Uses Ai generated metrics and feeds it into our own ML model trained on previous company data

How we built it

Half the team focused on creating an agentic workflow system through the GPT API, scraped news articles relevant to company and financial sector to help evaluate different performance metrics.

Other half of the team focused on training a predictive model for a company based on metric data and previous stock information. This was followed by UI design, focusing on intuitive UX and a chat-bot like interaction style

Challenges we ran into

Understanding what is needed to accurately train a predictive model.

Learning about autogen workflows with multiple GPT agents.

Accomplishments that we're proud of

Creating a workflow that is able to analyse a company with respect to current events surrounding it and give detailed user insights.

Functional UI that facilitates interaction with financial advisor

What we learned

What's next for AI Financial Advisor

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