Interio-AI
AI interior redesign service from room photos with material selection and estimates inside a client cabinet.
Context
The client needed a service that quickly generates interior redesign options from a room photo and provides material selections and estimates. Traditional design studios could not scale to the incoming volume.
Solution
We delivered an AI service combining image generation, material selection, and a clear UX flow for private customers. The focus was on speed, predictability, and transparent estimates.
What is inside
- redesign generation from input photos and room parameters;
- image processing pipeline with quality control;
- material calculator and bills of materials;
- personal cabinet with saved projects and material collections.
Results
- faster prototyping and alignment with customers;
- less manual work for specialists;
- stable turnaround time at pilot scale.
Stack
- ControlNet / SD pipeline
- Ollama (prompt LLM)
- Python + FastAPI
- Next.js 14 + Tailwind
- SQLite (PostgreSQL supported)
- Redis queues
- Nginx + Uvicorn
Phases
Discovery → PoC → Pilot → Production → Support
CTA
If you need a similar service, we can prepare a PoC and implementation plan for your environment.
Related services
Service areas most closely connected with this case.
AI assistants
Document search, knowledge-base answers, summaries, notifications and safe pilot launches.
Client portals
Portals where users see requests, documents, statuses, actions, notifications and history.
Workflow automation
Requests, statuses, documents, approvals, reports and repetitive actions in one clear digital process.
Ready to discuss a similar project?
We will outline an implementation plan, risks, and timeline.
Order a project