About project
DreamDate is an AI-powered interactive experience that transforms a user’s ideas into personalized, explorable romantic environments.
CubeX connected generative AI with real-time 3D technology: users select a setting, add their preferences, and receive a unique isometric scene that can be explored and shared.
We built the complete technical foundation—from AI generation and spatial scene processing to backend services, cloud asset delivery, responsive interactions, and production monitoring—so the experience works smoothly across desktop and mobile devices.
Duration
6 months
Technologies
Here’s the Result
- enabled users to transform personal ideas into unique, AI-generated romantic environments.
- turned generated images into explorable spatial scenes instead of static visuals.
- kept users informed throughout longer AI-generation tasks with asynchronous processing and real-time status updates.
- delivered smooth, responsive interactions and optimized 3D performance across desktop and mobile devices.
- made every generated experience easy to revisit and share, extending engagement beyond the initial creation flow.
- created a reliable, scalable foundation with cloud asset delivery, validation, moderation, monitoring, and automated deployment.
Here’s What We Did
- integrated Stable Diffusion to generate personalized isometric scenes.
- developed the interactive 3D experience using Three.js and WebGL.
- worked with Blender models, camera projection, depth data, and textures to transform generated images into spatial scenes.
- implemented animations, visual effects, sound controls, and mobile-friendly interactions.
- developed Node.js backend services for generation requests, scene management, and sharing.
- implemented asynchronous AI-generation processing and real-time status updates.
- used PostgreSQL to store generation requests, prompts, scenes, and sharing data.
- stored and delivered generated assets through AWS.
- optimized 3D rendering, textures, and asset loading for desktop and mobile devices.
- added moderation, request validation, rate limiting, and error handling.
- implemented automated testing, monitoring, and deployment workflows.
Roadmap
Discovery & Technical Prototype
Defined user flows, technical architecture, AI and 3D requirements, and validated the Stable Diffusion-to-spatial-scene pipeline with an early prototype.
UX/UI & Frontend Foundation
Built the responsive interface, scene-selection journey, gallery navigation, and frontend foundation for desktop and mobile interactions.
AI Generation Pipeline & Backend
Integrated Stable Diffusion and developed Node.js services for prompts, asynchronous generation, status updates, scene management, and PostgreSQL data storage.
Interactive 3D Experience
Developed the Three.js and WebGL experience, transformed Blender models and depth data into spatial scenes, and added animations, visual effects, and sound controls.
Sharing, Cloud & Mobile Optimization
Implemented scene sharing and AWS asset delivery, then optimized textures, rendering, loading performance, validation, moderation, and rate limiting for mobile and desktop.
QA, Monitoring & Launch
Completed automated testing, error handling, production monitoring, deployment workflows, performance checks, and final launch stabilization.
Main Functionality
AI-Generated Isometric Scenes
Interactive 3D Experience
Generation and Scene Management
Performance, Safety and Delivery
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