insurance-claims

InsurancePro CRM: Empowering insurance agents with a comprehensive and intuitive platform to seamlessly manage clients, policies, and leads.

Share this link with ChatGPT or Claude to get an Indian health insurance reimbursement claim ready: which documents to send, what is missing, and how to upload them.

Custom YOLO11m model for detecting and classifying car body damage (99% shattered glass, 96% flat tire detection accuracy)—optimized for high-capacity inference and assistive use in inspection and service workflows like BMW pre-loaner inspections.

Low code machine learning library, specified for insurance tasks: prepare data, build model, implement into production.

Car.ly - Vehicle Insurance Claim Fraud Detection -- Machine Learning Strategies for Detecting Vehicle Insurance Claim Fraud

Nature Medicine paper. A Multidimensional Precision Medicine Approach for Autism Subtype Identification.

Single-agent multi-modal system for insurance damage claim verification. #1 globally, HackerRank Orchestrate June 2026 (15,295 registrants). Anthropic, OpenAI, Groq, and Gemini support with a deterministic safety gate

Predict if a driver will file an insurance claim next year. (Kaggle Competition)

Insurance claim fraud detection using machine learning algorithms.

Yosef is a comprehensive, open-source microservices built with .NET C#, Python, Typescript and Gleam for the financial insurance industry. It provides a robust, scalable and observable foundation in order to modern insurance applications studies.

Course material for a workshop on loss modelling, reserving and insurance fraud analytics

Healthcare Revenue Cycle ♾️

In this project, we create a dashboard to examine a population of patients enrolled in ABC’s Accountable Care Organization care model

A collection of launch tools for Guidewire Software

This holds all my personal data-related project's (Automation, Modelling, Analysis)

Helping to detect fraud in Automobile Insurance Claims using Python, ML and Neo4j Graph Database.

This project is a showcase of using Daml smart contracts to build a multiparty workflow. It is based on a simplified insurance claim use case.

Insurance Fraud-datection in early stages using Machine learning.

Public records obtained by Persius.

The platform features: Provide 24/7, personalized guidance on policy selection and claims via voice or chat. Ensure clear understanding of policy terms. Automate form-filling with Al for error-free applications and higher claim acceptance rates.