Emotions affect our everyday decision, our motivation to do things, our relationships, and as well as the food we eat and vice versa. Emotion sensing and machine learning technology have had many advancements in recent years which have made it possible to apply emotion detection in various fields of life. One such application of emotion recognition is in the food recommendation system for accurate and appropriate food selection by the user. Food is a complex mixture of chemicals that interact with multiple physiological systems in our body including the brain which is responsible for what we feel, think and do. In this project, we aim at building an emotion-based food recommendation system that would sense the core emotions of a person and after considering the current state of the user, such as being stressed, bored, etc., give appropriate food recommendations based on the current mood of the person

Emotion Recognition, Food recommendation system, Food-Mood, Machine learning, Deep face, Streamlit, Pandas