diff --git a/AI Background Remover/README.md b/AI Background Remover/README.md
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+# š¼ļø AI Background Remover
+
+An AI-powered desktop tool that automatically removes image backgrounds and saves the subject as a transparent PNG ā perfect for designers, students, and automation scripts.
+
+ā
Built with Python
+ā
Uses `rembg` + U²-Net AI model
+ā
Works with JPG & PNG images
+ā
GUI + Command Line Interface
+ā
Hacktoberfest friendly š
+
+---
+
+## š Features
+
+| Feature | Description |
+| ------------------------ | ----------------------------------------- |
+| āļø AI Background Removal | Removes background using machine learning |
+| š„ļø Streamlit GUI | Upload ā Preview ā Remove BG ā Download |
+| š» CLI Tool | Command-line support for automation |
+| š¦ Output | Saves transparent PNG |
+| š° Beginner Friendly | Simple folder structure + clean code |
+
+---
+
+## š Project Structure
+
+```
+AI-Background-Remover/
+ā
+āāā src/
+ā āāā streamlit_app.py # Streamlit UI version
+ā āāā cli_app.py # Command-line background remover
+ā
+āāā assets/
+ā āāā sample1.png
+ā āāā sample2.png
+ā
+āāā requirements.txt
+āāā README.md
+```
+
+---
+
+## š„ Installation
+
+### 1ļøā£ Clone the Repository
+
+```bash
+git clone https://github.com/RK1905101/Mini_Python_Projects/AI-Background-Remover
+cd AI-Background-Remover
+```
+
+### 2ļøā£ Install Dependencies
+
+> Recommended: Use a virtual environment ā
+
+```bash
+pip install -r requirements.txt
+```
+
+If `onnxruntime` or `rembg` fails on your system:
+
+```bash
+pip install rembg onnxruntime
+```
+
+---
+
+## š¼ļø Streamlit GUI Usage
+
+Run the application:
+
+```bash
+streamlit run src/streamlit_app.py
+```
+
+Then open the browser link shown in the terminal ā
+Upload your image ā Click **Remove Background** ā Download PNG
+
+---
+
+## š» CLI Tool Usage
+
+```bash
+python src/cli_app.py input.jpg -o output.png
+```
+
+## šø Screenshots
+
+| Before |
+| ----------------------------------- |
+|
+| After |
+
|
+
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diff --git a/AI Background Remover/requirements.txt b/AI Background Remover/requirements.txt
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+# Requirements for AI Background Remover
+# Core packages
+rembg>=2.0.0
+streamlit>=1.0
+Pillow>=9.0
+
+# Recommended runtime for performance (optional)
+onnxruntime>=1.15.0 # replace with onnxruntime-gpu for GPU support
+
+# Notes:
+# - On Windows you may need Microsoft Visual C++ Build Tools for some packages.
+# - If you want GPU acceleration, install `onnxruntime-gpu` instead of `onnxruntime`.
diff --git a/AI Background Remover/src/cli_app.py b/AI Background Remover/src/cli_app.py
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+import argparse
+from rembg import remove
+
+def remove_background(input_image, output_image="output.png"):
+ with open(input_image, "rb") as i:
+ with open(output_image, "wb") as o:
+ o.write(remove(i.read()))
+ print(f"ā
Background removed! Saved as {output_image}")
+
+if __name__ == "__main__":
+ parser = argparse.ArgumentParser(description="AI Background Remover CLI Tool")
+ parser.add_argument("input", help="Input image path")
+ parser.add_argument("-o", "--output", default="output.png", help="Output image path")
+ args = parser.parse_args()
+
+ remove_background(args.input, args.output)
diff --git a/AI Background Remover/src/streamlit_app.py b/AI Background Remover/src/streamlit_app.py
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+import streamlit as st
+from rembg import remove
+from PIL import Image
+import io
+
+st.set_page_config(page_title="AI Background Remover", page_icon="š¼ļø", layout="centered")
+st.title("š¼ļø AI Background Remover")
+
+uploaded_file = st.file_uploader("Upload an image (PNG/JPG)", type=["png", "jpg", "jpeg"])
+
+if uploaded_file:
+
+ # Display original image
+ img = Image.open(uploaded_file)
+ st.subheader("Original Image")
+ st.image(img, use_container_width=True)
+
+ if st.button("Remove Background"):
+ with st.spinner("Processing... Please wait"):
+
+ uploaded_file.seek(0) # ā
Reset pointer before second read
+ input_image = uploaded_file.read()
+
+ output = remove(input_image)
+ result_image = Image.open(io.BytesIO(output))
+
+ st.success("ā
Background Removed Successfully!")
+ st.subheader("Output Image")
+ st.image(result_image, use_container_width=True)
+
+ # Download button
+ buf = io.BytesIO()
+ result_image.save(buf, format="PNG")
+ byte_data = buf.getvalue()
+
+ st.download_button(
+ label="š„ Download Output",
+ data=byte_data,
+ file_name="removed_bg.png",
+ mime="image/png"
+ )