https://github.com/yash1th-yerra/simple-search-engine-tfidf

A Flask-based Search Engine that allows users to search for songs using lyrics snippets! This project demonstrates how to implement a basic text search functionality with TF-IDF Vectorization and Cosine Similarity for ranking results.
https://github.com/yash1th-yerra/simple-search-engine-tfidf

search-engine tf-idf-vectorizer vector-search-engine

Last synced: 4 months ago
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A Flask-based Search Engine that allows users to search for songs using lyrics snippets! This project demonstrates how to implement a basic text search functionality with TF-IDF Vectorization and Cosine Similarity for ranking results.

• Host: GitHub
• URL: https://github.com/yash1th-yerra/simple-search-engine-tfidf
• Owner: yash1th-yerra
• Created: 2024-12-18T14:44:57.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-12-19T04:53:36.000Z (6 months ago)
• Last Synced: 2024-12-27T16:13:28.847Z (5 months ago)
• Topics: search-engine, tf-idf-vectorizer, vector-search-engine
• Language: CSS
• Homepage:
• Size: 47.6 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
🎵 Simple Search Engine for Songs

A Flask-based Search Engine that allows users to search for songs using lyrics snippets! This project demonstrates how to implement a basic text search functionality with TF-IDF Vectorization and Cosine Similarity for ranking results.

🚀 Features

    🔍 Search Functionality: Enter a phrase or a snippet of lyrics to find matching songs.

    📊 TF-IDF Vectorization: Efficient text representation for accurate matching.

    🧠 Cosine Similarity: Ranks search results based on relevance.

    🎨 User-Friendly Interface: A simple and responsive web design built with Flask and CSS.

    🌐 Deployable: Ready for deployment on platforms like Render, Railway, or Heroku.

🛠️ Technologies Used

    - Backend: Flask (Python)

    - Text Processing: Scikit-learn (TF-IDF and Cosine Similarity)

    - Frontend: HTML5, CSS3

    - Deployment: Render 

📝 How It Works

    - The dataset (songdata.csv) is loaded and preprocessed.

    - Lyrics are transformed into vectors using TF-IDF.

    - User queries are vectorized and compared with the dataset using Cosine Similarity.

    - Results are ranked by relevance and displayed to the user.

📂 Project Structure

.

├── app.py               # Main Flask application

├── templates/

│   ├── layout.html      # Base HTML layout

│   ├── search.html      # Search page template

├── static/

│   ├── style.css        # CSS for styling

├── songdata.csv         # Dataset of songs and lyrics

├── requirements.txt     # Python dependencies

└── Procfile             # Deployment configuration (for Render/Heroku)

🚀 Getting Started

1️⃣ Clone the Repository

git clone https://github.com/your-username/song-search-engine.git

cd song-search-engine

2️⃣ Install Dependencies

pip install -r requirements.txt

3️⃣ Run the Application

python app.py

Visit http://127.0.0.1:5000 in your browser to start searching!

📖 Future Enhancements

   - Add autocomplete for the search bar.

   - Integrate a database for faster indexing and querying.

   - Implement advanced ranking algorithms for more accurate results.

   - Enhance the UI with more modern styles and animations.

- Live Demo : https://simple-search-engine-tfidf.onrender.com/

🤝 Contributions

Contributions, issues, and feature requests are welcome! Feel free to fork this repository and submit a pull request.

🛡️ License

This project is licensed under the MIT License.