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car-recommendation's Introduction

Car Recommendation System

Table of Contents
  1. About The Project
  2. Architecture
  3. Contributors

About The Project

In this project, we developed a car finder and recommendation system using AWS services. This application aims to help potential car buyers find their desired car based on various preferences they enter such as make, model and price range, and also provides recommendations based on the cars they have liked. The recommendations are provided using the K-Nearest Neighbors (KNN) algorithm, by using various features of the cars they have previously liked.

Youtube Demo Video: https://www.youtube.com/watch?v=KeXr3tD9wG8

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Built With

  • Python
  • AWS
    • Cognito
    • CloudFront
    • S3
    • API Gateway
    • Lambda
    • DynamoDB
    • OpenSearch
    • CodePipeline

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Architecture

Architecture

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Contributors

  • Saravanan Thanu
  • Amrit Parimi
  • Atul Balaji
  • Vikram Kumar

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car-recommendation's People

Contributors

saranthn avatar atulapra avatar kumarv19 avatar

Watchers

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Forkers

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