Expected duration: 2 months I am an artist developing a browser-based interactive ritual experience where a 3D speaking character guides participants through a reflective AI-driven dialogue about the future.
At the end of the interaction, the system produces:
• A symbolic, poetic spoken response • One AI-generated image based on the participant’s clarified vision, rendered in a custom visual style trained on my artwork
This is a poetic, immersive digital art experience, not a generic chatbot or commercial tool.
Deliverable: A mini website / web module that can be integrated into an existing website (for example, as a subpage or subdirectory).
Scope Clarification
The generated images will later be shown in a separate digital “wall” project built by another team.
This job does NOT include building that wall interface. Your responsibility is to:
✔ Generate the images ✔ Store them with structured metadata ✔ Make them exportable for future integration
Technical Constraints (Non-Negotiable) -
• Open-source / open-weight AI models only (LLM, image generation, TTS, STT) • Self-hosted deployment on my infrastructure (Hetzner servers) • No proprietary AI APIs
Core User Experience Flow -
- Short conceptual intro animation - 3D character appears and speaks, introducing the ritual - User selects one of five thematic prompts - User shares a vision (text input; voice input optional bonus) - AI-guided dialogue (2–4 turns) to clarify the scenario - Final symbolic spoken response from the character - One AI-generated image created from the clarified vision - Session data saved for archive and future visual display
Technical Requirements -
Frontend (Mini Website)
• Immersive but lightweight interface • Smooth transitions between stages • Audio playback (music + character voice) • Responsive design (desktop + mobile) • Built using React / Next.js or similar
3D Speaking Character -
• WebGL / Three.js / A-Frame (or similar) • Rigged character model (provided) • Idle animation • Speaking animation synced to audio (lip sync preferred, amplitude-based acceptable for MVP)
AI Dialogue System (Open-Source LLM) -
• Self-hosted open-weight model • Multi-turn conversation handling • Structured prompting system • Outputs: – follow-up prompts – final poetic response – structured summary for image generation
Voice System (Open-Source TTS) -
• Open-source text-to-speech hosted on server • Audio drives speaking animation
Custom Style Image Generation -
The generated image must consistently match a custom artistic visual language based on my artwork. Prompting alone is not enough.
You must implement:
Preferred: LoRA training using my artwork dataset Alternative: Style adapter / reference conditioning
Requirements: • One image per session • Seed reproducibility • Style strength control • Save prompt + generation parameters
Simple password-protected page to: • View sessions • Download text and images
Deployment Requirements
• Linux deployment on Hetzner • Docker / Docker Compose preferred • Documentation for: – setup – model downloads – environment variables – running services – updating style model
Project Timeline
Total duration: 2 months
Skills Required
• Web 3D (Three.js / A-Frame / WebGL) • Experience integrating animated 3D characters in the browser • Experience serving open-source LLMs • Diffusion model LoRA or adapter training • Backend/API development • Docker + Linux deployment
How to Apply
Please include:
2–3 relevant projects (AI apps, WebGL/WebXR, or interactive experiences) Proposed tech stack (frontend, backend, model serving) Which open models you would use (LLM, diffusion, TTS) and why Recommended server setup (GPU/VRAM) for acceptable performance
Screening Questions
How would you sync speech audio to a 3D character animation in the browser? Which open-weight LLM would you deploy and how would you serve it? How would you train and deploy a custom style LoRA for image generation? What server setup would you recommend and why?
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