FanFindr is much more than a locator app for sports bars and restaurants that have a specific sport or team following. This is a much needed marketing platform for restaurants and sports bars and the fans searching for a place to watch the Big Game!

The UX/UI and all design have been completed for the team. We have demonstration videos, story videos, all explanatory and all functionalities are also laid out in Figma as well as a semi-functional MVP built in Bubble.io.

This platform is a marketing tool for sports bars and restaurants that includes information like menu entries, hours of operation, reviews, and of course, what team patrons frequent their establishment on game days.

We have a great deal of functionality and some framework in place to see "how-it-works," and we will provide documentation for functionalities.

Students need to build platform in code on AWS serverless db/Lambda/Cognito and API's in AWS as our back-end. We will be incorporating some Twilio and other platforms to enhance user experience and functionality.

The web app should allow a user to search the area they are visiting at the top of the page, and results come on a map or in a scrolling fashion.

Other functions are all spelled out in our documentation, and include showing locations on a map and how managers as well as end-users choose their teams, among other parameters. We have an extensive database of teams from college to pro, and throughout the world. This includes UEFA and WIFA soccer, PGA golf, NASCAR and tennis competitors as well.

This project includes adding the unique function of allowing restaurant and bar owners to "Push out" messages and specials to end-users via push notifications, adding an integral monetization factor to the app.

Guidance will be provided via a Project Manager, weekly Zoom meetings, and availability for questions.