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Vehicle Insurance Prediction App

An industry-grade, production-ready Machine Learning system that predicts vehicle insurance outcomes using a complete MLOps pipeline.

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Project Snapshot

Released

2025-09

Contribution

End-to-End ML Developer

Core Stack

ML FastAPI MLOPS Docker GitHub Actions AWS EC2 AWS S3 Python

Overview

This project demonstrates enterprise-level MLOps skills by building a complete vehicle insurance prediction system using MongoDB, FastAPI, Docker, AWS, and CI/CD automation. It showcases the full lifecycle from data ingestion to live deployment with cloud-based scalability and maintainability.

Features

Logging & Exception Handling
Model Versioning (S3 model registry)
Config Driven Architecture
Fully Automated Deployment