Create app.py
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app.py
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import gradio as gr
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with gr.Blocks(theme=gr.themes.Soft()) as demo:
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gr.Markdown("""
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# π©βπ» Simranpreet Kaur
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### B.Tech CSE (Final Year) | AI & Machine Learning Enthusiast
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π§ **Email:** spreetkaur937@gmail.com
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π **Hugging Face:** https://huggingface.co/simran40
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---
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""")
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with gr.Row():
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with gr.Column(scale=1):
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gr.Markdown("""
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## π About Me
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I am a final-year **B.Tech Computer Science student** with strong interest in
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**Artificial Intelligence, Machine Learning, and Computer Vision**.
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I enjoy building real-world AI projects that solve practical problems
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and demonstrate applied technical skills.
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""")
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with gr.Column(scale=1):
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gr.Markdown("""
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## π§ Technical Skills
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- **Programming:** Python
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- **AI / ML:** Machine Learning, YOLO, TensorFlow, OpenCV
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- **Data Analysis:** NumPy, Pandas, Matplotlib
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- **Web:** HTML, CSS
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- **Tools:** Git, GitHub, VS Code, Google Colab
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""")
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gr.Markdown("---")
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gr.Markdown("""
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## π Featured Projects
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""")
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with gr.Row():
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with gr.Column():
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gr.Markdown("""
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### ποΈ Face Detection System
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- Real-time face detection using OpenCV
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- Implemented Haar Cascades & deep learning concepts
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- Practical application in security & attendance systems
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""")
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with gr.Column():
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gr.Markdown("""
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### π― Object Detection (YOLO)
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- Implemented object detection using YOLO
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- Detected multiple objects in real-time video streams
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- Used for automation and smart surveillance
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""")
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with gr.Row():
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with gr.Column():
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gr.Markdown("""
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### π Text-to-Speech System
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- Converts written text into natural speech
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- Useful for accessibility and voice-based applications
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""")
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with gr.Column():
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gr.Markdown("""
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### π Diamond Price Prediction
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- Machine learning regression model
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- Predicts diamond prices based on features
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- Data preprocessing & visualization applied
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""")
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with gr.Row():
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with gr.Column():
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gr.Markdown("""
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### π Stock Market Analysis
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- Analyzed stock market trends using historical data
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- Applied data analysis and visualization techniques
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""")
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gr.Markdown("---")
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gr.Markdown("""
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## π Education
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**B.Tech β Computer Science Engineering**
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Final Year Student
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---
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## π Why This Portfolio?
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- Demonstrates **practical AI & ML implementation**
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- Industry-oriented project selection
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- Clean, professional & deployable on Hugging Face
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- Shows learning depth beyond theory
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---
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### β Thank you for visiting!
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""")
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demo.launch()
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