With the abrupt rise in consumption of packaged and processed food products, the consumers are mostly ignorant about the ingredients and their reactions on health. It's very cumbersome for consumers to read and understand the labeled information on the packed foods as complex words are used and sizes of fonts are smaller. This paper discusses a new AI technology-based food ingredient analysis and health recommendation system for users, which utilizes optical character recognition technology and machine learning for analyzing the food ingredients. This system comprises scanning the ingredients of the packaged foods through a mobile application developed using Flutter and entering the ingredient information through the mobile app. It also provides health recommendations and analysis for users, which can be obtained through the selected diseases, namely diabetes and hypertension. Performance analysis of the proposed system shows significant improvement for users in terms of awareness of food ingredients.