SongBot (https://hungry-ardinghelli-134d3b.netlify.app/) is a web app in beta that leverages deep learning and natural language processing to automatically sort a Spotify user's songs into playlists by "vibe".
In my Spotify library, I have about 3000 songs. If I play them on shuffle, the transitions between songs will sound jarring: some happy or sad, loud or soft. I try to organise them into playlists myself, but not being an organisation master, the playlists stop sounding "coherent" after a few months, as I absent-mindedly add more songs to a preexisting playlist. Why spend hours organising them again, if a bot can sort it for you?
If this is you, you may be interested in helping build the app from private beta to general release. Currently, the clumsily-built site is here.
Potential for massive visibility and usage, scaling as large as the web and infrastructure costs allow us to. If ever entered in a data science/entrepreneurship Hackathon, this project could do enter the finalists (email me to hear rationale).
No monetary cost. You pay for it in time and worker hours.
The tech stack includes:
To apply, you only need proficiency in one area (frontend/ML/backend) or have a strong technical background in other Computer Science fields, so you can learn very quickly.
The small team collaborates and architects via: LucidChart, GitHub Pull Requests/Issues, Trello.
Potential non-technical roles (marketing, web design, etc) are reviewed on a case-by-case basis: contact email below, explaining why you think you're a good fit for the project.
1-10 hours weekly. Predominantly 1-3 hours, but can burst to 10 hours near deadlines. Flexible, negotiable hours in a small asynchronous team, communicating largely via GitHub Issues & Pull Requests.
Email firstname.lastname@example.org for queries.