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Predictive Health Insurance Model for Shield Insurance
Project type
Healthcare premium prediction using Data Science and Machine Learning
Date
10/10/24
Location
Ahmedabad
Streamlit Application
Project Overview
In collaboration with AtliQ AI, this project aimed to develop a Predictive Health Insurance Premium Model for Shield Insurance. The model was designed to estimate health insurance premiums based on multiple customer factors, with the overall goal of automating and optimizing premium pricing decisions.
Project Phases
Phase 1: Minimum Viable Product (MVP)
Develop and deploy a predictive model with a user-friendly interface.
Create a Streamlit-based interactive application.
Host the model on the cloud to allow underwriters to access it remotely.
Objectives for Phase 1
Achieve >97% model accuracy.
Ensure that 95% of predictions deviate by less than 10% from actual values.
Provide a cloud-deployed solution for seamless access.
