Automated machine learning system for predicting second-hand car prices, built on AWS.
The system uses an authenticated web dashboard for price estimates and an automated pipeline that handles the full flow from importing sales data to cleaning records, training models, and serving predictions.
Data is stored in Amazon S3 and processed through AWS Lambda. A weighted nearest-neighbor model identifies comparable cars, with training orchestrated through Amazon SageMaker. Infrastructure is managed with Terraform.
Designed to help second-hand car buyers and sellers make informed pricing decisions. The dashboard shows estimated prices, comparable vehicles, and explanations, while new data triggers model updates automatically.
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