Project information
- Category: Web
- Technologies: JavaScript, NodeJS, Express
- Project date: HackDuke 2019
- Project URL: devpost.com
Food Hack
We were inspired by being college students. It's not easy to eat healthy, especially when healthy foods are so expensive! The user enters a combination of nutritional facts, and our app returns the cheapest recipes that meet those requirements. We also rate the foods by "trendiness". Using sentiment analysis via a pretrained machine learning model, we are able to judge overall reviews of the recipes based on what people are saying on Twitter.