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QTify is a meticulously designed music browsing web app that brings the Figma concept to life with an engaging interface. It features a captivating Navbar and Hero Section, integrating top albums display, collapsible card grid to carousel transitions, and genre-based song filtering for personalized music exploration.

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QTify

Overview

QTify is an immersive music browsing web application that I meticulously designed, bringing the Figma concept to life. This engaging platform features a meticulously crafted UI, including a captivating Navbar and Hero Section. The application seamlessly integrates various functionalities, such as displaying top albums, implementing a collapsible card grid to carousel transition, and introducing a genre-based song filter.

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Features

  1. Top Albums Display: The application fetches and showcases top albums dynamically from the provided API endpoint.
  2. Collapsible Card Grid: A dynamic card grid seamlessly transitions into a carousel for an enhanced user experience.
  3. Genre-Based Song Filtering: Users can filter songs based on genres, adding a personalized touch to their music exploration.

Development

  • Frontend: Crafted with attention to detail, the frontend ensures a visually appealing and user-friendly interface.
  • Backend: Utilizes the provided API endpoint to fetch and display top albums dynamically.

How to Run Locally

To run QTify locally, follow these steps:

  1. Clone the repository: git clone https://github.com/RutikKulkarni/QTify.git
  2. Navigate to the project directory: cd [project-directory]
  3. Install dependencies: npm install
  4. Start the application: npm start

Note: Ensure that you have the necessary dependencies and a stable internet connection to run the application successfully.

About

QTify is a meticulously designed music browsing web app that brings the Figma concept to life with an engaging interface. It features a captivating Navbar and Hero Section, integrating top albums display, collapsible card grid to carousel transitions, and genre-based song filtering for personalized music exploration.

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  • JavaScript 71.9%
  • CSS 19.4%
  • HTML 8.7%