• Tanmai Muke
• Krishnaveni Chilka
• Sakshi Channe
• Mamata Gandhe
• Ms. Pradnya Mehta

This research paper focuses on a diet-based food recommendation system. Here, we have deployed a system that helps the user get the food that suits his/her health. Since the Covid19 pandemic has hit us, the world has become more aware of immunity, and strong immunity needs good health. This system has used machine learning algorithms and techniques to make recommendations of the required food items. The algorithms that are used in this system are K-means clustering, Random Forest Classification algorithm and rank-based collaborative filtering. This system focuses on giving food recommendations that help the user in maintaining and boosting his/her health. It aims to make dining-out a healthier experience.

K-means, collaborative filtering, random forest, clustering, classification, food recommendation, accuracy.

"Research Paper on Disorder based Food Recommendation System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.f248-f252, June-2021, Available :http://www.jetir.org/papers/JETIR2106733.pdf

"Research Paper on Disorder based Food Recommendation System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppf248-f252, June-2021, Available at : http://www.jetir.org/papers/JETIR2106733.pdf