Inspiration
My experience with panic inducing music played during my first CTF hackathon. 🤪
Interested in exploratory use cases in LLM for sentiment analysis including music recommendation. 🤓
What it does
Provide relevant music recommendations for a particular cybersecurity role and task/workflow.
Note: "Relevant" for our purposes means the music matches the sentiment, general summary, and context of the initial prompt submitted for the cybersecurity workforce user that we have in mind based on what a cybersecurity expert (i.e. subject matter competency in cybersecurity work and related objects/behavior) and a music expert (i.e. subject matter competency in music, how it is classified, etc.🫶🏼
How we built it
With our blood, sweat, and tears...And a modern js/typescript React frontend, Python API middleware/backend, and the power of Beethoveen.ai, and Nebius AI Studio enriched with data via the Spotify Web API.
Challenges we ran into
"Our Time Is Running Out" - Muse
Accomplishments that we're proud of
Behold! Like a master chef unveiling a banquet, we serve not mere notes, but a symphony of emotions upon the golden platter of melody.
What we learned
"Suffering builds character." - Talia Al-Ghul
"Pain is just the compiler of growth" - ChatGPT
"It started with a simple Hello, World!… now all I wanna say is Goodbye, World!" - Katherine
What's next for Cybersecurity Music Recommender
World domination! Don't wait up L'America!
Built With
- beethoven.ai
- fastapi
- github
- nebius
- openai
- preact
- python
- react
- typescript
- vite
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