PoC to show how we can use LLM's to analyze risk on an Insurance application form using Insurance underwriting guidelines. Built using Streamlit

1. Steps involved

• Provide an Underwriting Guideline along with Insurance application Form
• Text Summarization model summarizes Underwriting guidelines document
• Summarized Underwriting guidelines along with Insurance application form are used to query GPT 3.5 turbo model
• Model returns the highlighted risks on the Insurance application

2. Get Open AI API KEY

• Create an account on https://platform.openai.com/api-keys and get an API KEY (Needed to access GPT 3.5 turbo model)
• Open command prompt (Windows)

•   setx OPENAI_API_KEY "your-api-key-here"

• Permanent setup: To make the setup permanent, add the variable through the system properties as follows:

Right-click on 'This PC' or 'My Computer' and select 'Properties'.

• Click on 'Advanced system settings'.
• Click the 'Environment Variables' button.
• In the 'System variables' section, click 'New...' and enter OPENAI_API_KEY as the variable name and your API key as the variable value.
• Verification: To verify the setup, reopen the command prompt and type the command below. It should display your API key: echo %OPENAI_API_KEY%

3. Install Requiremnents:

   pip install -r requirements.txt

4. Run the code:

   streamlit run app.py