Spotiflow

Spotiflow AI-powered Tracks Explorer

The Spotiflow AI-powered Tracks Explorer is a cutting-edge web application that combines Spotify data with AI-driven insights to help users explore their listening habits and discover trends in their music preferences. Built with Next.js 14, TypeScript, and OpenAI API, this project demonstrates expertise in OAuth authentication, API integration, and AI-powered personalization.

Problem Addressed

Spotify users often want to analyze their listening habits and gain deeper insights into their music preferences. This project solves the challenge by providing an interactive platform that not only displays top tracks but also uses AI to generate personalized music recommendations and insights.

Technical Implementation

• Spotify OAuth 2.0 Authentication: Implements a secure login flow to authenticate users and access their Spotify data.
• AI-Powered Insights: Leverages OpenAI API to analyze listening habits and generate personalized music insights, such as:
  • Mood analysis of top tracks
  • Genre trends over time
  • Suggestions for new artists or tracks based on user preferences
• Time Range Filtering: Allows users to view their top tracks for:
  • Last Month (short_term)
  • Last 6 Months (medium_term)
  • All Time (long_term)
• Interactive Music Player: Enables users to play previews of their favorite tracks directly within the app.
• Protected Routes: Uses Next.js middleware to secure pages and ensure only authenticated users can access their data.
• Token Refresh Functionality: Automatically refreshes access tokens to maintain a seamless user experience.
• Responsive Design: Built with Tailwind CSS to ensure the app looks great on all devices.

Key Features

• Personalized Dashboard: Displays a user's top tracks with album art, track details, and playback options.
• AI-Generated Music Insights: Provides users with unique insights into their listening habits, such as mood analysis and genre trends.
• Dynamic Filtering: Switch between different time ranges to analyze listening habits.
• Music Previews: Play 30-second previews of tracks directly in the app.
• Secure Authentication: Ensures user data privacy with OAuth 2.0 and token-based authentication.
• Modern Architecture: Built with the latest features of Next.js 14, including the App Router for optimized routing and performance.

Technical Highlights

• AI Integration: Utilizes OpenAI API to generate personalized insights and recommendations.
• API Integration: Fetches user data, including top tracks and playback previews, from the Spotify Web API.
• TypeScript: Ensures type safety and maintainable code.
• Middleware for Protected Routes: Secures sensitive pages and data.
• Optimized Performance: Leverages server-side rendering (SSR) for fast load times and better SEO.

Results & Impact

The Spotiflow AI-powered Tracks Explorer provides users with an engaging and insightful way to explore their music preferences. By combining Spotify data with AI-driven insights, it offers a unique and personalized experience that goes beyond traditional music exploration. This project showcases technical expertise in modern web development, API integration, and AI-powered personalization, making it a standout addition to any portfolio.

Links

• GitHub Repository: Spotiflow AI-powered Tracks Explorer
• Live Demo: Spotiflow Demo