Cook Smart-An Intelligent Recipe Recommendation System

Cook Smart platform offers highly sophisticated personalized diet recommendations powered with the help of individualized nutrition profiles for optimal digestion based on dietary preferences, restrictions or medical conditions. Once the user provides information in terms of weight, height, dietary restrictions and if you are diabetic or hypertensive then CookSmart uses NLP for all this detail to happen also integrate machine learning models, after which our target to calculate a set value that must be used later, whether it predicts your calorie intake. According to the information it displays some custommade recipe suggestions and diet plan which relate with a particular health goal such as weight loss or gain, fitness enhancement in addition to prohibition into certain kind of food stuffs. Html/Css was used to build a simple UI interface when designing the front end of this platform, while in addition Python and Flask based backends that are responsible for data control — processing with backend business logic.This architecture renders a user experience dynamic in nature that is engine-responsive to be fast and lightweight as it maintains communication with congregated server frontend UI back-end CRUD operations. An interactive, real-time engaging chatbot in the app offers customized meal options and answers nutritional queries. In addition to suggesting meals, CookSmartiap also encourages New Users Save your FavoriteRecipes and Record your Eating History as you set up YOUR individual nutrition goals. In this paper, we describe the design and architecture of CookSmart that enables personalized meal recommendations with nutritional constraints. There is also room for the platform to scale with more complex AI models and an expanded recipe library geared towards individual nutritional requirements as personal nutrition needs gain in popularity in a health-conscious world.