Contact person: Augmented Reality Interior Design Application

Phone:Show

Email:Show

Location: Varanasi, India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"Project: AI-Powered 3D Wall Paint Visualizer
Overview

I already have a website ready. Now I need an AI-powered 3D wall paint visualizer that allows users to upload room photos (including panoramic shots) and virtually paint the walls with high realism.

The system must:

Automatically detect walls and refine boundaries.

Provide 1000+ real paint brand shades (Asian Paints, Berger, Nerolac, Dulux, etc.).

Render results in a realistic 3D view where users can zoom, pan, and rotate to explore the room.

Preserve wall textures, shadows, and lighting so the painted wall looks authentic.

Core Requirements
1. Upload & Wall Detection

Upload standard or panoramic room photos.

AI detects and segments walls automatically (using SAM/SAM2 or equivalent).

Accurate edge refinement for corners, trims, and boundaries.

2. Interactive Painting

Click or tap to select a wall and apply colors.

Must include 1000+ branded paint palettes (Asian Paints, Berger, Dulux, Nerolac, etc.).

Palette browsing with search, filter by brand, shade code, or color family.

Undo/redo, multi-wall painting, and switching between walls.

3. Realism

Maintain wall textures, cracks, shadows, and lighting.

Smooth blending for natural and realistic results.

Color updates should be fast (about 1–2 seconds).

4. 3D Panoramic View

Users can view the painted room in 3D.

Support zoom in/out, rotation, and panning to explore walls.

Panoramic rendering using stitched photos or a 3D viewer ([login to view URL]).

5. Frontend

User-friendly interface with drag-and-drop or file upload.

Palette browser with brand-wise shade library.

Built with React/[login to view URL] and WebGL/[login to view URL] for 3D.

6. Backend (AI/ML)

Python backend with PyTorch, OpenCV, SAM/SAM2.

REST API or WebSocket for segmentation and painting functions.

Dockerized for easy deployment.

7. Deployment

Deployable on AWS/GCP/Azure or VPS.

Must support multiple users concurrently.

Tech Stack (Preferred)

Backend: Python, PyTorch, OpenCV, SAM/SAM2, scikit-image, CRF.

Frontend: React/[login to view URL] with WebGL/[login to view URL] for 3D visualization.

Integration: REST API or WebSocket with Docker.

Deployment: AWS/GCP/Azure.

Deliverables

Fully functional web application accessible via browser.

Backend service with segmentation and painting APIs.

Frontend with:

1000+ branded paint colors with search and filter options.

Eyedropper, undo/redo, multi-wall support.

3D panoramic room viewer with zoom, rotate, and pan.

Deployment-ready package (Docker + setup instructions).

Documentation for installation and usage.

Ideal Freelancer/Team

Strong experience in computer vision (PyTorch/OpenCV) and wall segmentation.

Skilled in full-stack web development (React/[login to view URL] + Node.js).

Experience in 3D visualization with WebGL/Three.js.

Ability to deliver a production-ready, realistic 3D paint visualizer.



inshort: Project: AI-Powered 3D Wall Paint Visualizer

I need an AI-powered web application that allows users to upload room photos (including panoramic shots) and virtually paint the walls with high realism. The tool should automatically detect walls, refine boundaries, and preserve wall textures, lighting, and shadows so the output looks like real paint.

The application must support 1000+ branded paint palettes from major companies like Asian Paints, Berger, Dulux, and Nerolac. Users should be able to search and filter colors by brand, shade code, or family, then apply them to selected walls. The system should also include basic editing tools (undo/redo, multi-wall painting, eyedropper) and allow users to save or export the results.

A key feature is a 3D panoramic viewer where users can zoom, rotate, and pan around the painted room for a realistic experience. The frontend should be built with React/[login to view URL] (with WebGL/[login to view URL] for 3D), while the backend should use Python (PyTorch, OpenCV, SAM/SAM2). Deployment should be containerized (Docker) and hosted on AWS/GCP/Azure.

I am looking for a freelancer or team with experience in computer vision, AI-based segmentation, and 3D visualization. Past work with image editing or AR tools is a plus. The final deliverable should be a production-ready, scalable web app integrated into my existing website, with full documentation and deployment support." (client-provided description)