Queueless (for Restaurants) - queueless.tech

Skip the line when you dine! Find a convenient, nearby restaurant of your choice, and know in real time how many tables and seats are available at restaurants without surprises and reservations.

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Inspiration

It's a warm, sunny day; you walk out to get food at your favorite place, only to find no place available to enjoy the wholesome dining experience. This has only gotten common after COVID-19 thanks to capacity limits, and even when the limits will be gone, people crave the convenience they once had of reserving, reserving, and reserving. And hence comes the need for Queueless!

What it does

Free for customers, and subscription-based for businesses who choose to participate, Queueless gives live status of the number of tables and seats available in the restaurants of your choosing. As a result, small restaurant owners would get a constant supply of happy customers who prefer last-minute plans.

How we built it

Used Python for early development and proof-of-concept, such as on the Restaurant Owner side of "operations". Google Cloud/Firebase is used for the database. And HTML and Google Maps API for deployment and User Search end.

What's next for Queueless (for Restaurants)

Predicting when the tables will be vacant if all are occupied based on each restaurant's history and . Expanding this to other business like barber shops, bars etc.

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Updates

Private user

Private user posted an update —

Restaurants is the first industry this could be rolled out to. But the API was made flexible on purpose: it can be easily be expanded to address other retail industries.

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Private user

Private user posted an update —

This project was a learning process for all of us; even though all of us have had exposure to programming, the learning curve for setting up a web service was definitely something we didn't expect to come across before the hackathon. We've come out the other end of this project being considerably more familiar with how to set up a web service, including attention paid to front-end, back-end, and even down to design choices.

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