SoundTrick

Inspiration

Have you ever heard a song while out and about (at a concert, at Target, at a holiday party), but were too busy to Shazam it there and then, and naturally had no recollection or reference to it hours or days later? With Omi's listening technology and AGI agentic system, you now can!

What it does

Omi listens for song lyrics and matches them to a song, agent takes song input and adds it to a new or existing playlist of the month. End of day - you have an audio memory of everything you've heard, from concerts to holiday music in grocery stores!

How we built it

Front end was built in lovable, python code in replit, agentic execution done in AGI. Data input provided by Omi.

Challenges we ran into

Agent has an extremely hard time logging into spotify.

Accomplishments that we're proud of

The vision and problem space were interesting, leverage technology well, and are impactful in a unique way.

What we learned

This was my first time building in Lovable, also my first time truly leveraging different APIs for a creative build. I learned a ton about scoping problems, using tools, and ensuring meaningful outcomes.

What's next for SoundTrick

SoundTrick will be pitched on Tuesday to the SenseAI hackathon crowd to optimize the idea and then more integrations with Omi will take place at the SenseAI hackathon itself in 2 weeks.

Built With

• agi
• lovable
• python
• replit