• Routhu Nikhil Joshi
• Kandhati Tulasi Krishna Kumar

This project involves the development of a color clustering and recommendation system. The system imports an image, allows the user to sample a color from the image, and generates a set of color harmonies based on the selected color. The color harmonies include monochromatic, analogous, complementary, triadic, and tetradic color schemes. The system also provides a real-time camera preview and the ability to capture images from the camera. The system is built using the OpenCV, NumPy, PIL, and Tkinter libraries in Python. The main interface includes an image display, color sampling, color preview, color scheme selection, and a button to generate color harmonies. The system provides users with an intuitive and user-friendly tool for color selection and design.

color clustering, color harmonies, color sampling, generate color harmonies

"Color Clustering and Recommendation System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.g337-g345, March-2023, Available :http://www.jetir.org/papers/JETIR2303651.pdf

"Color Clustering and Recommendation System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. ppg337-g345, March-2023, Available at : http://www.jetir.org/papers/JETIR2303651.pdf