RageBot

Inspiration

After watching a tiktok about speedrunning 10 logical fallacies in an argument against my girlfriend, we were enchanted. We wanted to make a hackathon project that allows everybody to ragebait with maximal effectiveness and minimal effort.

What it does

RageBot's core functionality is an AI-powered conversation assistant that creates emotionally engaging interactions using psychological manipulation techniques and logical fallacies.

How we built it

Detailed technical architecture breakdown covering:

• Frontend with PySide6 and custom styling
• Real-time audio processing with PyAudio
• Speech recognition with OpenAI Whisper
• AI generation with Google Gemini API
• Text-to-speech with pyttsx3
• Multi-threaded architecture

Challenges we ran into

Real technical challenges encountered:

• PyQt6 DLL compatibility issues --> switched to PySide6
• Real-time audio processing optimization
• TTS voice quality across platforms
• UI responsiveness during heavy processing
• API integration and rate limiting
• Cross-platform compatibility
• Psychological prompt engineering for the most rage enducing responses

Accomplishments that we're proud of

Key achievements:

• Seamless real-time experience
• Advanced psychological manipulation implementation
• Smart audio management system
• Cross-platform TTS with natural speech

What we learned

• Real-time audio processing techniques
• Prompt design for LLM rage response
• Python multithreading

What's next for RageBot

• Voice recognition for continuous conversation
• Rage hints for user with logical fallacy suggestions
• Better TTS library for more realistic conversation

Built With

• gemini
• pyaudio
• pyside6
• pyttsx3
• whisper