Tech Internship Dashboard 🚀

A comprehensive Streamlit application that combines AI/ML, FullStack development, DevOps, and Generative AI tools into a single interactive dashboard.

Features ✨

1. AI/ML Section 🤖

• User Profile System: Upload files and save personal details
• Marks Prediction: Linear Regression model that predicts exam scores based on study hours
  • Interactive visualization
  • Real-time predictions
  • Model accuracy metrics

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2. FullStack Section 💻

• Media Tools:

  • Camera capture with save functionality
  • Video recording simulation (10 seconds)

• Location Services:

  • Fetch and display your current location
  • Interactive map visualization

• HTML Interpreter: Live HTML rendering

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3. DevOps Section 🐳

• Docker Command Center:

  • Run common Docker commands (simulated)
  • Detailed command explanations
  • Example outputs

• Command Reference: Learn essential Docker commands

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4. Generative AI Section 🧠

• Gemini API Integration:
  • Chat interface with AI
  • API key configuration
  • Real-time responses

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Installation ⚙️

1. Clone the repository:

git clone https://github.com/yourusername/tech-internship-dashboard.git
cd tech-internship-dashboard

2. Install dependencies:

pip install -r requirements.txt

3. Run the application:

streamlit run major_p.py

Requirements 📋

• Python 3.8+

• Streamlit

• Pandas

• NumPy

• scikit-learn

• google-generativeai

• geopy

• opencv-python

• Pillow

Configuration ⚙️

For the Generative AI section, you'll need:

1. A Gemini API key from Google AI Studio

2. Add your key in the Generative AI tab when the app runs

Usage Guide 📖

1. AI/ML Section:

   • Fill in your details and upload files

   • Experiment with the marks prediction model

2. FullStack Section:

   • Take photos with your webcam

   • "Record" videos (simulated)

   • Fetch your location

   • Test HTML code in real-time

3. DevOps Section:

   • Learn Docker commands

   • See simulated outputs

   • Study command explanations

4. Generative AI:

   • Enter your API key

   • Chat with the AI model

   • Get responses to any prompt

Project Structure 📂

Troubleshooting 🛠️

Common Issues:

1. Location not working:

   • Ensure you have an internet connection

   • The geolocation service may not be precise

2. Gemini API errors:

   • Verify your API key is correct

   • Check your internet connection

3. Docker commands not executing:

   • These are simulations for learning purposes

   • For real commands, use your system terminal

Contributing 🤝

Contributions are welcome! Please follow these steps:

1. Fork the repository

2. Create a new branch (git checkout -b feature/your-feature)

3. Commit your changes (git commit -m 'Add some feature')

4. Push to the branch (git push origin feature/your-feature)

5. Open a Pull Request