Smart Home Interior Optimization using CNN and Deep Learning Models

Creating visually appealing and functional interiors is often challenging due to issues like poor space utilization, mismatched decor, and improper lighting. This paper addresses these problems with an AI Based website where users upload images of their living rooms for analysis using the YOLO algorithm. The system evaluates aspects such as lighting, saturation, and decor harmony, providing a style rating and personalized recommendations to enhance aesthetics and functionality. By offering rating and actionable insights, this solution simplifies interior design, making it accessible, efficient, and user-friendly. Index Terms: Machine Learning, Interior Decor, Computer Vision, Object Detection, Deep Learning.