🎓 Internship Insights Dashboard

An interactive Streamlit dashboard that scrapes internship listings from Internshala, analyzes trends, and presents key insights for students and job seekers.

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🚀 Features

• 🔍 Real-time scraping from Internshala using requests + BeautifulSoup4
• 📊 Data cleaning & analysis using pandas
• 🧠 Internship trend visualization (domains, locations, stipends, and durations)
• 📈 Interactive dashboard built with Streamlit
• 💾 Downloadable data reports for analysis

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🧩 Project Structure

Internship Insights/
│
├── dashboard/
│   ├── app.py                 # Streamlit dashboard app
│   └── data/                  # Cleaned and processed data
│
├── src/
│   ├── scraper.py             # Web scraper for Internshala internships
│   ├── processor.py           # Data preprocessing and transformation
│   ├── analyzer.py            # Data analysis logic
│   └── utils.py               # Helper functions
│
├── requirements.txt           # Python dependencies
└── README.md

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📷 Dashboard Previews

🏠 Home Dashboard

📈 Insights Section

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⚙️ Installation

# Clone the repository
git clone https://github.com/yourusername/internship-insights.git
cd internship-insights/dashboard

# Install dependencies
pip install -r requirements.txt

# Run the dashboard
streamlit run app.py

Then open the provided Local URL (e.g., http://localhost:8501) in your browser.

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🧠 Technologies Used

• Python 3.10+
• Streamlit – for the dashboard UI
• BeautifulSoup4 – for scraping
• pandas / regex – for data extraction and processing
• Matplotlib / Seaborn – for charts and visuals

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💡 Future Enhancements

• Add machine learning insights (internship trends prediction)
• Include salary vs. skill analysis
• Export data to Power BI or Excel
• Enable automated weekly scraping

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🤝 Contributing

Pull requests are welcome! For major changes, open an issue first to discuss your idea.

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📜 License

This project is licensed under the MIT License — feel free to use and modify it.