describe what can people use it for, or how it makes existing tasks easier/safer e.t.c (markdown supported)

The problem it solves

We were stuck with using llm s like gpt 3.5 and gemini

tell us about any specific bug or hurdle you ran into while building this project. how did you get over it? (markdown supported)

Challenges we ran into

Aventus 2.0

OpenCV

Python

Jupyter Notebook

Streamlit

Algorithmic underwriting insurance with ml

Revolutionize BFSI underwriting with ML and federated learning. 
Automate risk assessment, streamline processes, and ensure data privacy. 
Develop scalable models for collaborative training across multiple insurers. Enhance accuracy, transparency, and regulatory compliance. 
Create a proof-of-concept application for real-world impact.

AI and Machine Learning

ByteBenders

Algorithmic underwriting insurance with ml

"Transforming Underwriting Precision with Decision Tree ML in Banking"

Algorithmic underwriting insurance with ml

"Transforming Underwriting Precision with Decision Tree ML in Banking"

The problem Algorithmic underwriting insurance with ml solves

Challenges we ran into

AI and Machine Learning

Discussion

Builders also viewed