/MelodiousAI-Revolutionizing-Song-Recommendations-with-BERT-NLP-and-MySQL

Dive into the future of music discovery with MelodiousAI! Our project leverages BERT-NLP and MySQL to craft personalized song recommendations. Join us in reshaping the way you find your next favorite tune!

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MelodiousAI: Revolutionizing Song Recommendations with BERT, NLP, and MySQL

Welcome to MelodiousAI, an innovative song recommendation system powered by BERT (Bidirectional Encoder Representations from Transformers), NLP (Natural Language Processing), and MySQL. MelodiousAI analyzes song descriptions to provide personalized music recommendations, revolutionizing the way people discover new music.

Overview

MelodiousAI leverages cutting-edge NLP techniques to understand the semantic meaning of song descriptions. By employing BERT, a state-of-the-art language model, MelodiousAI identifies similarities between songs based on their descriptions, enabling users to explore a curated selection of tracks tailored to their tastes.

Features

  • Advanced Recommendation Algorithm: MelodiousAI employs a sophisticated recommendation algorithm that accurately identifies similarities between songs, ensuring high-quality recommendations.
  • User-Friendly Interface: With a simple and intuitive interface, MelodiousAI makes discovering new music effortless and enjoyable.
  • Extensive Music Database: MelodiousAI boasts a comprehensive music database, encompassing a diverse range of genres, artists, and albums.
  • Fast and Efficient: Powered by BERT and optimized for performance, MelodiousAI delivers lightning-fast recommendations, enhancing the user experience.

Getting Started

To get started with MelodiousAI, follow these steps:

  1. Clone the Repository: Clone this repository to your local machine:

    git clone https://github.com/DeependraVerma/MelodiousAI-Revolutionizing-Song-Recommendations-with-BERT-NLP-and-MySQL.git

  2. Install Dependencies: Navigate to the project directory and install the required dependencies:

    cd MelodiousAI-Revolutionizing-Song-Recommendations-with-BERT-NLP-and-MySQL
pip install -r requirements.txt

  3. Set Up MySQL Database: Ensure you have MySQL installed and create a new database for MelodiousAI. Update the database connection details in the config.py file.

  4. Run the Application: Launch MelodiousAI by running the following command:

    streamlit run app.py

  5. Explore Recommendations: Enter a song name in the provided input field and click "Search" to receive personalized song recommendations based on your input.

Contributing

Contributions to MelodiousAI are welcome! If you have ideas for improvements or new features, please submit a pull request. Together, we can make MelodiousAI even better.

License

This project is licensed under the MIT License.

About the Developer

MelodiousAI is developed by Deependra Verma, a data science enthusiast passionate about leveraging cutting-edge technologies to solve real-world problems.

Contact

If you have any questions, feedback, or inquiries, feel free to reach out to Deependra Verma at deependra.verma00@gmail.com. Your feedback is invaluable to us!