BookSwipe

Finding a new book often becomes a task in itself. Many discovery platforms rely on long descriptions, ratings, and reviews, forcing readers to spend more time evaluating books than actually reading them. This creates decision fatigue, particularly for students and casual readers who want to start reading quickly without sorting through excessive information.

BookSwipe reduces this friction by rethinking how book choices are made. Instead of comparison-heavy browsing, the app presents books as individual swipeable cards featuring the cover and short, AI-generated “vibe” summaries. This design allows users to rely on quick intuition, making book discovery faster and more engaging than traditional list-based platforms. As users interact with the app, BookSwipe adapts in real time, learning preferences such as genre, mood, themes, and reading length directly from swipe behavior. Unlike conventional recommendation systems that depend largely on ratings or past reading history, BookSwipe builds a personalized taste profile through low-effort, continuous interaction.

By simplifying the decision process, BookSwipe lowers the barrier to starting a new book and encourages exploration beyond familiar choices. The project demonstrates how combining thoughtful interface design with adaptive recommendations can transform book discovery from a slow, effort-heavy process into an intuitive and enjoyable experience.