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PaceBeats is a web application designed to enhance the running experience by creating personalized Spotify playlists that match the user's running pace and the elevation profile of their chosen routes. The app integrates with Strava to analyze running routes and uses Spotify to curate music that helps maintain the desired cadence throughout the run. To use the app, users need to connect their Strava and Spotify accounts. Once connected, they can select a running route from their Strava data, set a target pace, and the app will generate a playlist with songs that have the appropriate beats per minute (BPM) for different segments of the route. The app also provides detailed information about how the algorithm works, including route analysis, elevation adjustments, and BPM calculations. The technologies involved in the development of PaceBeats include Next.js for server-side rendering and routing, TypeScript for type safety, and Tailwind CSS for styling. The app also utilizes NextAuth for authentication, allowing users to securely connect their Strava and Spotify accounts. Key features of PaceBeats include: - Integration with Strava to import running routes and analyze elevation profiles. - Custom playlist generation based on the user's target pace and route elevation. - Detailed explanations of the algorithm used to match music BPM with running cadence. - User-friendly interface with responsive design for both desktop and mobile devices. - Ability to manage connected accounts and view playlists directly within the app. Overall, PaceBeats aims to provide runners with a seamless and motivating soundtrack tailored to their running needs, enhancing their overall performance and enjoyment.