With the context of modern-day hectic lifestyle, every individual has certain health issues. Also, while taking food and others, often the people make mistakes by consuming an item that is not good for his/her health conditions. Subsequently, the emergence of Artificial Intelligent (AI) based systems necessitates developing an application which can recommend to a user about a food item to be taken or not based on certain health suggestions by the physician. The proposed system integrates image classification and health-based recommendation algorithms to enhance users’ dietary choices. It utilizes advanced image processing techniques to accurately identify food ingredients and analyse their nutritional content, providing users with valuable information for healthier eating habits. By considering individual health profiles, such as age, gender, and dietary needs, the system offers personalized food suggestions. It continuously learns from user preferences and health data, tailoring recommendations to support specific health goals like boosting immunity or managing weight, thereby promoting overall well-being.