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import gradio as gr
with gr.Blocks(theme=gr.themes.Soft()) as demo:
gr.Markdown("""
# π©βπ» Simranpreet Kaur
### B.Tech CSE (Final Year) | AI & Machine Learning Enthusiast
π§ **Email:** spreetkaur937@gmail.com
π **Hugging Face:** https://huggingface.co/simran40
---
""")
with gr.Row():
with gr.Column(scale=1):
gr.Markdown("""
## π 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("""
## π§ 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("""
## π Featured Projects
""")
with gr.Row():
with gr.Column():
gr.Markdown("""
### ποΈ 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("""
### π― 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("""
### π Text-to-Speech System
- Converts written text into natural speech
- Useful for accessibility and voice-based applications
""")
with gr.Column():
gr.Markdown("""
### π 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("""
### π Stock Market Analysis
- Analyzed stock market trends using historical data
- Applied data analysis and visualization techniques
""")
gr.Markdown("---")
gr.Markdown("""
## π Education
**B.Tech β Computer Science Engineering**
Final Year Student
---
## π Why This Portfolio?
- Demonstrates **practical AI & ML implementation**
- Industry-oriented project selection
- Clean, professional & deployable on Hugging Face
- Shows learning depth beyond theory
---
### β Thank you for visiting!
""")
demo.launch()
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