AI-Based 360° Vehicle Image Generation System (Interior & Exterior)

I am building a data-driven automotive platform and currently have millions of vehicle images collected from various sources. I am looking for an experienced developer to build an automated system that generates 360-degree vehicle views (both exterior and interior) from these images. The final output will be used on a website where users can interactively explore a car (rotate view, zoom, and navigate inside the vehicle). ⸻ Project Goals * Generate 360° exterior views of vehicles from multiple images * Generate 360° interior views (dashboard, seats, etc.) * Allow interactive rotation (mouse/touch control) on the frontend * Automatically process new incoming vehicle data daily * Ensure scalability (millions of images) ⸻ Scope of Work 1. Image Processing & Matching * Group images belonging to the same vehicle listing * Detect angles (front, rear, side, interior, etc.) * Filter duplicates and low-quality images * Normalize image size, lighting, and orientation 2. 360° View Generation * Create frame sequences or stitched 360 views * Handle cases with missing angles (use interpolation or AI if possible) * Optional: Use AI models for realistic rendering 3. Backend Automation * Build a pipeline that: * Runs daily (cron/job scheduler) * Processes only newly added vehicles * Stores generated outputs efficiently 5. Frontend Viewer Integration * Provide output compatible with web viewers such as: * Three.js * WebGL viewers * Existing 360 viewer libraries * Smooth rotation and good performance on both desktop and mobile