Eatrios
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Date
2023
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Journal ISSN
Volume Title
Publisher
UMT, Lhr
Abstract
The degradation of food quality and compromise on taste has become quite prevalent in pursuit of maximizing profits. Due to inflation, people are unable to take even one meal a day, leading to food scarcity and malnutrition. Generally, people are not aware of the problems caused by consuming an unhealthy diet and in this era, more and more people are forced to consume low-quality food. Students, especially hostelites, spent a lot of time and energy finding the proper diet according to their budget, taste, and quality. In this respect, we propose a location-aware diet, food, and meal buddy recommendation system. The proposal involves the participation of restaurants, and end-users to cooperatively improve the food services industry. The proposal aims to employ modern data science and machine learning techniques to provide effective statistics and projections for restaurant owners to maximize their utility. Our proposal aims to empower people, students, and hostelites literally anyone who has a stomach to fill by equipping them with a tool that helps them find their desired food within their budget, and area and also keep track of their eating habits and spending. Also, providing them with the power to maintain their fitness using our diet recommendation mechanism. To increase positive trends we are also encouraging them to find meal buddies to cut down their spending and also reduce food wastage which happens due to the non-balanced quantity of food served per person. To encourage community building between like-minded people we are enabling them with the Chaye buddy recommender feature