• Ansari Aftab Ahmed
• Syed Rehan Talib Ali
• Prof. Dhanashree K.

This project aims to develop a software system based on existing knowledge of Artificial Intelligence which will eliminate the need of human employees for taking orders at food industry. This will eliminate human limitations and errors. The proposed software will do so by giving recommendations for food items based on identity and emotion of the person. Our project plans to incorporate this research to increase sales of food industry. In this project we will implement facial emotion recognition in order to suggest and recommend a personalized menu or food items using a food recommendation model. It will give the suggestions and recommendations according to the emotion of the user and the data regarding to which previous users of the same emotion have ordered. This increases the chances of the customer to order more food and be satisfied with the menu and visit again, hence increasing sales. The emotion recognition will be done using the Facial Emotion Recognition library in python and recommendation will be done using recommender system. There are a lot of applications where websites collect data from their users and use that data to predict the likes and dislikes of their users. This allows them to recommend the content that they like. Recommender systems are a way of suggesting or similar items and ideas to a user’s specific way of thinking.

Facial Emotion Recognition, Recommendation Model.

"AI Smart Software for Food Industry", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.b69-b73, April-2022, Available :http://www.jetir.org/papers/JETIR2204109.pdf

"AI Smart Software for Food Industry", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppb69-b73, April-2022, Available at : http://www.jetir.org/papers/JETIR2204109.pdf