Automated 3D Visualization from 2D Images using Computer Vision and Web-Based Rendering

3D visualization has transformed the interior design of spaces. But most of the existing procedures are manual and tedious. Most of these solutions rely on templates or user inputs, rendering them more inflexible. It introduces an automatic system that converts 2D spaces into automated 3D models based on computer vision and web-based rendering. The achievement contact contours using an extract and open CV detects edges to create 3D wireframes and meshes. By adding depth automatically, a proprietary algorithm ensures accuracy in the 3D space. The models can be interacted with in real time by users by using three.js for rendering. The system uses Django to ensure easy upload of images by the users and view of their 3D designs. This makes 3D modeling easy for designers specifically, architects, and homeowners without using complex CAD software. Testing shows this method is more efficient and faster than the traditional mode