Mixtape Mocktails

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  The web interface from which you can link to Spotify and manage the drink queue

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  A selection of mixers used for the project

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  The team debugs the drink dispenser

Inspiration

• We think it's cool.

What it does

• Uses AI to analyze your music taste through Spotify and give you a personalized drink recipe
• Uses a robot to take that drink recipe and dispense it

How we built it

• Frontend is made in React with Tailwind, we have a queuing system for drink recipes
• We use Spotify's Web API to authenticate a user and pull metadata about their music tastes
• We use ChatGPT's API to convert different music taste info (e.g. top artists, top tracks, genres) into a drink recipe
• We store drink information and client secrets on the cloud with Google Firebase
• We use a Python script to pull drink info from an endpoint and communicate to an ESP32 via serial
• For the robot, we CADded and laser cut a stand with two platforms. An upper platform holds six different cups for drinks, all of which funnel into a cup at the bottom which will hold the mixed drink. Each cup has a straw for dispensing liquid, and we control whether liquid is poured by using six servo motors to bend the straws up/down.

Challenges we ran into

• Working with the WiFi module / library problems with the ESP32
• Getting parts/resources for hardware, most places were closed for the weekend / the hurricane
• Figuring out the design of the robotics system.

Accomplishments that we're proud of

• Systems design, decoupling software and hardware so we could develop in parallel
• Low cost for the robot, mostly made with scrap parts

What we learned

• How to effectively work on hardware hacks

What's next for Mixtape Mocktails

• Adding audiovisual experiences based on music taste
• More variety of mixers
• Ice

Built With

• arduino
• firebase
• react
• spotify