Deep Learning and Gen AI based System for Ingredient Recognition and Recipe Insight

Authors- Mahesh Banjade, Jagadish Shrestha, Anupam Bhattarai, Ayush Acharya, Shanta Maharjan, Amul Neupane

Abstract-This paper presents “Deep Learning and Gen AI based System for Ingredient Recognition and Recipe Insight” to develop a machine learning-based system for Ingredient Recognition and recipe insight. Using YOLOV7, the presented system recognizes raw food ingredients from images and suggests recipes and dishes based on those ingredients based on the gpt-2 transformer model. Additionally, it provides recipe recommendations for the dish on the demand of the user. It can also provide recipe recommendations based on images of dishes or ingredients uploaded by the user through the vision transformer. The project focuses on improving ingredient recognition accuracy, enhancing user experience, and offering valuable culinary insights. The project is expected to develop a user-friendly system that provides accurate ingredient recognition and personalized recipe suggestions, benefiting home cooks, professionals, and food education platforms.

DOI: /10.61463/ijset.vol.12.issue6.356