Public Company Research

Inspiration

Came from reading: "navigating the AI transformation in Solutions Engineering: Present and Future Impact"

What it does

Allows you to ask a 10K filing questions.

How I built it

Using Python - Gemini API - Streamlit - Google Cloud Storage

Challenge

Service credentials - TOML format: Streamlit:GC connection

Accomplishments

Being able to ask multiple questions / follow-up question and get specific answers. Using Streamlit UI for the first time.

Learnings

Streamlit. GC Storage - connection. Gemini API - connection/usage.

What's next for Public Company Research

Would like to speed up processing. Multiple 10ks - and perform comparisons. Image - of company logo - provides URL to investor section to download 10k - making this process easier. Actually done something with the extracted data - cloud trigger - function when PDF uploaded - using Cloud Natural Language API - performing sentiment analysis + streamlit data visualisation!

Built With

• gemini
• google-cloud
• python
• streamlit