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Inspiration

Living in a separated world for food services. We wanted to gamify this experience for people and make it more convenient for them to have access to food related services, blogs and people's recipes in one place rather than going to thousands of different websites.

What it does

We use data provided by the customers (through our survey system, the yelp/google API and the Yelp Dataset to recommend people on what they would like in the location they are at. We also have separate sections for where restaurants post their menu items, their services and use the app like their happy place and business website. Food bloggers and Chef's can make their own pages and depending on the surveys of what the consumer likes, the algorithms will be set by very basic arithmetic system. To gamify the experience, we have a 'pokemongo' concept but for food. We provide the user with a compass and a small map of where to head and it acta as a fun game for people to experience new restaurants and offerings in their area.

How we built it

We used the Github developer tools - (Stripe, Github, Replit, Covalence, Mailgun, Microsoft Azure, MongoDB, namecheap and Typeform), Javascript and ReactJS to maximize the efficiency and give a fun experience for this app.

Challenges we ran into

We had trouble with getting the MongoDB import all the Yelp dataset with the yelp_reviews having 7 millions lines of data. To put this in a MongoDB readable file, we made a python script that makes a new file that can be imported into MongoDB. The frontend and backend integration for this app was also a challenge but thanks to the mentors and many Youtube videos to guide us through this segment of the project.

Accomplishments that we're proud of

We are extremely proud of what we have developed in the past 36 hours and looking at the project, this has a chance to be an actual company which many people would like to use. Also getting the frontend of the app and having it get data from MongoDB database was a cheerful moment.