SPPRS - Sherwin Paint Product Recommender System

• March 19 2026
• DSC 4900 - Data Science Project/Portfolio
• Belmont University
• Author: Lis Caxaj

Table of Contents

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• Introduction
• Overview of Advanced Topics
• Gathering and Cleaning Data
  • Dataset Description
  • Data Cleaning
• Database Creation
• Building out the Recommender System
• Website Creation Using Flask
• Navigating Through the Website
• Conclusion

Introduction

My project seeks to utilize publicly available product information to support customers in selecting appropriate Sherwin-Williams paint products based on project requirements and product constraints, streamlining the decision-making process. Seeking to simplify and emphasize the versatility of Data Science within everyday life decisions.