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This is a submission for the : That's Entertainment!
What I Built
DJ Electrohead is an AI- powered interactive DJ simulation game that combines music mixing with crowd interaction. The game features three distinct play modes:
Crowdplay Mode: Connect with Spotify to mix real tracks. An AI-powered crowd reacts to your song choices, analyzing how well you maintain energy and flow between tracks.
Strudel Mode: Create live beats with code using the strudel repl's musical loops and patterns. The crowd responds to your rhythm and creativity in real-time.
Mixing Mode: Create live mixes of two songs alongside the multitude of tools you would find on a real DJ's turntable!
Key features:
Code Repository
How I Used Amazon Q Developer
What I Built
DJ Electrohead is an AI- powered interactive DJ simulation game that combines music mixing with crowd interaction. The game features three distinct play modes:
Crowdplay Mode: Connect with Spotify to mix real tracks. An AI-powered crowd reacts to your song choices, analyzing how well you maintain energy and flow between tracks.
Strudel Mode: Create live beats with code using the strudel repl's musical loops and patterns. The crowd responds to your rhythm and creativity in real-time.
Mixing Mode: Create live mixes of two songs alongside the multitude of tools you would find on a real DJ's turntable!
Key features:
- Dynamic crowd reactions with a real-time vibe meter powered by deepseek-VL v3
- Score system with combo multipliers for maintaining crowd energy
- Animated DJ character sprites that responds to the crowd's mood depending on a dynamic crowd vibe meter
- High score tracking across both game modes
- Seamless Spotify integration for authentic DJ experience and the ability to play any song you want!
- Strudel allows users to flex their coding ability whilst creating banger music
- Users can actually DJ using turntables along with snares, kicks, pitch changes, reverbs and flangers!
Code Repository
How I Used Amazon Q Developer
I first thought about what I wanted to build and then asked chatgpt to create a text document titled: "Tasks.txt" (available in the github repository)
Then I instructed Amazon Q developer to use the file tasks.txt as a starting point to get a feel for what it has to build.
Since the task sheet is split into different phases, I made Q developer stop everytime it completed a major task in each phase and tweaked the code manually or using q dev itself if needed.
After reviewing every phase's features that q developer implemented, I pushed it to my repository and moved on to the next phase.