Location Based Recommendation System with machine learning.

Abstract

Machine learning allows us to give vast volumes of data to computer algorithms and have them assess and make data-driven judgments and recommendations entirely based on the incoming data. This project will employ machine learning to analyze geolocation data and user preferences in order to provide the user with intelligent recommendations. In today's fast-paced and hectic world, it's common to be too exhausted to prepare a home-cooked supper. Even if you eat home-cooked meals every day, it's not uncommon to desire to treat yourself to a decent dinner now and then for social or recreational reasons. Consider the instance of someone who has recently relocated to a new location. They already have particular tastes and interests. . If a person lives near his favorite outlet, it will save him and his food providers a lot of time and effort. This project involves categorizing popular snack destinations for incoming students based on their mood and preferences for amenities, affordability, and proximity to the place using K-Means Clustering to find the easiest food location for students in Greater Noida (or any other city of your choice) by using K-Means Clustering to find the easiest food location for students in Greater Noida (or any other city of your choice) by using K-Means Clustering to find the easiest food location for students in Greater Noida.