Publication: AirPoint Lab: AI-powered Online Car Painting Customization and Estimation Platform
Type:
Article
Date
2025-07-08
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
SLIIT City UNI
Abstract
The AirPoint Lab project introduces an innovative AI-based online platform designed to modernize car painting services in Sri Lanka, addressing key challenges such as inaccurate cost estimations, unreliable workshop selection, and limited customization options. The platform features an intuitive web interface that enables users to design and visualize custom car paint jobs with the assistance of AI-driven color matching and instant cost estimates. By integrating workshop ratings, local service recommendations, and transparent pricing, the platform enhances accessibility and trust for users. Developed using Agile Methodology, the system was initially built on the MERN stack but later migrated to WordPress improved scalability, while incorporating machine learning for personalized AI recommendations. Rigorous testing confirmed the platform’s functionality, usability, and accuracy, demonstrating its potential to streamline the car painting process for both customers and service providers. Beyond its practical applications, this web application bridges academic research with realworld implementation, offering a scalable solution adaptable to developing nations.
Description
Keywords
Car painting, WordPress, Cost estimation, Web application, Online customization
