Repository of GEMAct source code. Enjoy!
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Updated
Nov 11, 2025 - HTML
Repository of GEMAct source code. Enjoy!
GLM, Neural Network and Gradient Boosting for Insurance Pricing, Part 1: Claim Frequency
XGBoost Regressor to predict healthcare expenses based on features such as age, BMI, smoking, etc.
Data visualization about smoking impact on insurance annual charges
This is the backend server for AssuredLife - a modern life insurance management platform. It is a role-based full-stack web application built with the MERN stack. It provides a secure and robust REST API to support the client-side application.
AssuredLife is a modern, full-stack web application designed to streamline the process of purchasing and managing life insurance policies. It provides a secure, responsive, and role-based platform for customers, agents, and administrators.
Assessing the profitability of No-Claim-Discount (NCD) car insurance scheme, this analysis employs Markov chains and Monte Carlo simulations in R. The study aims to evaluate the current scheme design, forecast future premiums, and propose enhancements for long-term viability.
Unofficial Node.js SDK tailored for MyCover.ai. Seamlessly integrate and supercharge your insurance offerings with Africa's foremost insure-tech infrastructure.
Web-based CRM for managing clients and policies with automated prime calculation. Includes policy creation, INCENDIE tracking, and full financial breakdowns. Built with Flask and SQLite.
To view the report and the semantic model of this repository click the link below
Using a Monte Carlo simulation, we analyzed an auto insurance pool to identify its risk characteristics through Gamma distribution and the Law of Large Numbers. This analysis also helped calculate the minimum premium required to achieve the APRA sufficiency level.
Written in Julia | Car insurance cost simulations
A machine learning-powered Streamlit web application that predicts insurance charges based on personal and demographic factors, featuring an intuitive UI and real-time predictions.
Model predicting insurance charges based on the user's age, taking into account smoking and BMI
What medical costs should a health insurance company expect from their policy holders?
Insurance Premium Optimization (End-to-end ML Ops project)
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