Colour Recommendation system with Human colour phycology using Supervised Learning

Abstract

This project introduces an innovative colour palette recommendation system designed to revolutionize the way designers and creatives select colour schemes for their projects. At its core, the system integrates cutting-edge technologies such as machine learning algorithms to offer personalized, contextually relevant colour palette suggestions. By analysing vast datasets of colour combinations and user interactions, the system learns and evolves, fine-tuning its recommendations to align with individual user preferences, emotional cues, and current design trends. Machine learning algorithms enable the system to understand complex patterns and preferences in colour selection, while NLP allows for the interpretation of textual inputs such as project descriptions and mood indicators, ensuring recommendations are not only visually appealing but also emotionally resonant. This project not only aims to streamline the design process but also to inspire creativity and innovation in colour usage across various applications.