Augmented-and-Automated-Underwriting/augmented-and-automated-underwriting
A final Year Project about Augmented and Automated Underwriting in Insurance using Machine Learning
This project helps insurance underwriters make faster and more consistent decisions on life and health insurance applications. It takes applicant data, like medical history and demographics, and outputs a recommended risk assessment. Insurance underwriters are the primary users, allowing them to augment their expertise with automated insights.
No commits in the last 6 months.
Use this if you are an insurance underwriter looking to streamline your risk assessment process and improve decision-making efficiency for life and health insurance policies.
Not ideal if you require a highly customized underwriting model for niche insurance products outside of life and health, or if you prefer entirely manual review processes.
Stars
10
Forks
2
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Jul 18, 2023
Commits (30d)
0
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