BLINKIT-store-placement-prediction-project-/requirements.txt at main · Ronit049/BLINKIT-store-placement-prediction-project- · GitHub

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<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8">
  <title>Store Placement Visualizer</title>
</head>
<body>

  <!-- 📬 Contact Section -->
  <h2>📬 Contact</h2>
  <p>Feel free to connect:</p>
  <ul>
    <li><strong>GitHub:</strong> <a href="https://github.com/Ronit049" target="_blank">Ronit049</a></li>
    <li><strong>LinkedIn:</strong> <a href="https://www.linkedin.com/in/ronit-raj-114181315" target="_blank">Ronit Raj</a></li>
    <li><strong>X (Twitter):</strong> <a href="https://x.com/its_rsr04" target="_blank">@its_rsr04</a></li>
  </ul>

  <!-- 📃 License Section -->
  <h2>📃 License</h2>
  <p>This project is open-source and available under the <a href="https://opensource.org/licenses/MIT" target="_blank">MIT License</a>.</p>

  <!-- 📦 Requirements.txt Section -->
  <h2>📦 Requirements</h2>
  <p>To install all necessary Python libraries, use the following <code>requirements.txt</code> file:</p>
  <pre><code>pandas
numpy
scikit-learn
folium
matplotlib
plotly
streamlit
seaborn
</code></pre>

  <p><strong>Optional additions (if needed):</strong></p>
  <ul>
    <li><code>geopandas</code> – for geospatial operations</li>
    <li><code>sqlalchemy</code> – for database connections</li>
    <li><code>faker</code> – for generating fake data</li>
  </ul>

  <p>💡 Install with:</p>
  <pre><code>pip install -r requirements.txt</code></pre>

</body>
</html>