Michael Zhang¹ and Rodrigo Onate², ¹USA, ²California State Polytechnic University, USA

Many people struggle to find personalized hairstyle ideas and are seeking trusted barbers in their area. To solve this, we propose an AI-powered barber app that generates hairstyle images based on user preferences, showcases trending/celebrity styles, and connects users with nearby barbers with trusted reviews and more [7]. One of the major challenges was gathering up to date barber information which was solved using web scraping to automatically collect data such as reviews, hours, and locations. During experimentation, the application was put through prompt engineering experimentation, and zip code testing [8]. Results showed that overly specific prompts led to less accurate hairstyle images, with a surprising drop in quality despite higher detail. Meanwhile, zip code testing revealed that only 1.5% were missing, confirming a highly reliable barber database. These results helped identify blind spots and reinforced the importance of prompt balance and verified data sources. StyleSync is an idea that ultimately is something that people will use because the haircut options are limitless, and people are constantly looking for new styles.

Web Scraping, Prompt Engineering, Barber, Hair Style