AI Car Designer Modify & Tune positions itself as an accessible vehicle customization tool leveraging artificial intelligence to transform user concepts into photorealistic automotive designs. The Android application developed by MOBIVERSITE YAZILIM BILISIM REKLAM VE DANISMANLIK targets automotive enthusiasts seeking to visualize modifications without requiring technical design skills or professional software. The core functionality revolves around AI-powered image processing that accepts vehicle photos and applies user-selected modifications including wide-body kits, custom wheels, paint color changes, and aesthetic enhancements. The system generates results within seconds, producing realistic renderings that maintain proper proportions and lighting consistency. The app supports multiple vehicle types including cars, trucks, and motorcycles, with customization options covering both exterior modifications and basic tuning visualizations. User experience involves a straightforward workflow: users upload vehicle images, select desired modification categories, and adjust parameters through sliders and preset options. The interface employs a clean design with categorized modification tools, though some users report initial learning curves regarding feature discovery. Real-world usage patterns indicate strongest adoption among automotive enthusiasts planning actual modifications, social media content creators seeking engaging automotive visuals, and motorcycle owners customizing their rides. User feedback trends show polarized experiences, with the 3.6-star rating reflecting mixed reception. Positive reviews highlight the AI's rendering capabilities and developer responsiveness. One user, Kennith Edwards (July 30, 2025), reported satisfaction after initial skepticism, noting the developer provided proof of concept and that the app handles motorcycles and custom trikes effectively. However, the limited review sample suggests potential issues with consistency or broader user experience concerns not reflected in available feedback. The application demonstrates strength in rapid visualization capabilities and broad vehicle support, though limitations include dependency on subscription models and potential learning curves. It serves most effectively as a conceptualization tool for modification planning rather than technical tuning guidance. The photorealistic outputs provide value for social sharing and modification planning, though professional automotive designers may require more precise technical specifications than the app currently provides.