In response to the needs of many young individuals lacking culinary skills, this work “Cookies” introduces an innovative solution. “Cookies” will serve as a pioneering platform designed to simplify cooking processes for beginners. By leveraging advanced image recognition technology, users can easily upload images of ingredients or specify the ingredients via text and receive personalized recipe suggestions tailored to their preferences. Through comprehensive research, every aspect of “Cookies” is analyzed to understand its transformative potential in the culinary realm. Through observing user interactions, this work will uncover how “Cookies” revolutionizes the cooking experience, making it more accessible and enjoyable. In this paper, image of the ingredients will be input to the recommender system and the suggestion of different recipes will be the output. With the use of Convolutional Neural Network for image processing and Non-Negative Matrix Factorization as preferred algorithm for AI-based recommender system, “Cookies,” will make cooking an effortless and delightful journey for everyone involved, fostering a newfound appreciation for the art of cooking among individuals of all skill levels.