import gradio as gr

with gr.Blocks(theme=gr.themes.Soft()) as demo:
    gr.Markdown("""
    # 👩‍💻 Simranpreet Kaur  
    ### B.Tech CSE (Final Year) | AI & Machine Learning Enthusiast  

    📧 **Email:** spreetkaur937@gmail.com  
    🌐 **Hugging Face:** https://huggingface.co/simran40  

    ---
    """)

    with gr.Row():
        with gr.Column(scale=1):
            gr.Markdown("""
            ## 🚀 About Me
            I am a final-year **B.Tech Computer Science student** with strong interest in  
            **Artificial Intelligence, Machine Learning, and Computer Vision**.  

            I enjoy building real-world AI projects that solve practical problems  
            and demonstrate applied technical skills.
            """)

        with gr.Column(scale=1):
            gr.Markdown("""
            ## 🧠 Technical Skills
            - **Programming:** Python  
            - **AI / ML:** Machine Learning, YOLO, TensorFlow, OpenCV  
            - **Data Analysis:** NumPy, Pandas, Matplotlib  
            - **Web:** HTML, CSS  
            - **Tools:** Git, GitHub, VS Code, Google Colab  
            """)

    gr.Markdown("---")

    gr.Markdown("""
    ## 📌 Featured Projects
    """)

    with gr.Row():
        with gr.Column():
            gr.Markdown("""
            ### 👁️ Face Detection System
            - Real-time face detection using OpenCV  
            - Implemented Haar Cascades & deep learning concepts  
            - Practical application in security & attendance systems
            """)

        with gr.Column():
            gr.Markdown("""
            ### 🎯 Object Detection (YOLO)
            - Implemented object detection using YOLO  
            - Detected multiple objects in real-time video streams  
            - Used for automation and smart surveillance
            """)

    with gr.Row():
        with gr.Column():
            gr.Markdown("""
            ### 🔊 Text-to-Speech System
            - Converts written text into natural speech  
            - Useful for accessibility and voice-based applications  
            """)

        with gr.Column():
            gr.Markdown("""
            ### 💎 Diamond Price Prediction
            - Machine learning regression model  
            - Predicts diamond prices based on features  
            - Data preprocessing & visualization applied
            """)

    with gr.Row():
        with gr.Column():
            gr.Markdown("""
            ### 📈 Stock Market Analysis
            - Analyzed stock market trends using historical data  
            - Applied data analysis and visualization techniques  
            """)

    gr.Markdown("---")

    gr.Markdown("""
    ## 🎓 Education
    **B.Tech – Computer Science Engineering**  
    Final Year Student  

    ---

    ## 🏆 Why This Portfolio?
    - Demonstrates **practical AI & ML implementation**  
    - Industry-oriented project selection  
    - Clean, professional & deployable on Hugging Face  
    - Shows learning depth beyond theory  

    ---
    ### ⭐ Thank you for visiting!
    """)

demo.launch()