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FOOD RECOMMENDATION SYSTEM

M.Arunkumar¹, T. Arun², S. Mohamed Ashiq³, G. Raguram⁴

1Assistant Professor, Department of Information Technology, Nandha Engineering College-Erode- 638052, Tamilnadu, India

2,3,4UG Scholar, Information Technology, Nandha Engineering College-Erode- 638052, Tamilnadu, India.

Abstract. This paper provides an overview of food recommendation systems, which are software programs that suggest food items to users based on their individual preferences, dietary restrictions, and other relevant factors. These systems use machine learning algorithms to analyse user data and provide personalized recommendations.

With the increasing demand for personalized services in the food industry, food recommendation systems are becoming more popular, as users have access to a wealth of data on digital platforms and mobile applications, including nutritional information, reviews, and ratings. The potential impact of food recommendation systems is significant, as they can help users discover new cuisines and restaurants that they might not have otherwise considered. Finally, the paper suggests future research directions in the field of food recommendation systems.

Food recommendation systems are an important area of research due to their potential to revolutionize the food industry by offering personalized services to consumers. These systems leverage the power of machine learning algorithms to analyse vast amounts of data and provide tailored recommendations that cater to individual needs and preferences.