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Get a restaurant suggestion based off of your visible mood! Built for Capital One's Software Engineering Summit Summer 2020 challenge. Here's the link to the MindSumo challenge: https://www.mindsumo.com/contests/d052bcf8-4580-4922-95ef-a9f6ceaf0f10?fbclid=IwAR0CU2j1EYwtuy9Y4XBVadPLYMdeFCdoZ8i8MYSY3mcw_vATZ1QyQVI9xks

Home Page: https://oldmyfoodmood.herokuapp.com

HTML 15.70% CSS 14.91% JavaScript 69.39%

old-food-mood's Introduction

Food Mood

This is my original submission to the Capital One challenge. I have improved my website in a separate repo on GitHub, which you can find at: https://github.com/samuel-ping/food-mood

About

This web app was built as an entry to Capital One's Software Engineering Summit challenge. It uses HTML, CSS, JavaScript, Express.js, and Node.js. The challenge was to create a web app using Yelp's Fusion API to help you choose a restaurant. This web app takes your selfie (plus whoever you're with), and using Amazon's Rekognition API, determines the most visible emotion in the photo. Then, using Yelp's Fusion API, it searches for a restaurant based on your mood!

How To Use

Just take a photo or browse your device for a selfie. After entering your photo, just wait a few seconds, and your restaurant suggestion will pop up underneath the (not working) Google Map! Note that you need location permissions turned on for this to work.

Future Improvements

I would definitely make determining the most visible emotion more accurate. I would also increase the number of restaurant suggestions shown. My original plan was to have page redirects, and I still hope to integrate that into this web app. Also, my Express.js code needs to be cleaned up.

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