Closes issue #261

AI Background Remover/README.md

@@ -0,0 +1,95 @@
+# 🖼️ AI Background Remover
+
+An AI-powered desktop tool that automatically removes image backgrounds and saves the subject as a transparent PNG — perfect for designers, students, and automation scripts.
+
+✅ Built with Python
+✅ Uses `rembg` + U²-Net AI model
+✅ Works with JPG & PNG images
+✅ GUI + Command Line Interface
+✅ Hacktoberfest friendly 🎉
+
+---
+
+## 🚀 Features
+
+| Feature                  | Description                               |
+| ------------------------ | ----------------------------------------- |
+| ✂️ AI Background Removal | Removes background using machine learning |
+| 🖥️ Streamlit GUI        | Upload → Preview → Remove BG → Download   |
+| 💻 CLI Tool              | Command-line support for automation       |
+| 📦 Output                | Saves transparent PNG                     |
+| 🔰 Beginner Friendly     | Simple folder structure + clean code      |
+
+---
+
+## 📌 Project Structure
+
+```
+AI-Background-Remover/
+│
+├── src/
+│   ├── streamlit_app.py     # Streamlit UI version
+│   ├── cli_app.py           # Command-line background remover
+│
+├── assets/
+│   ├── sample1.png
+│   ├── sample2.png
+│
+├── requirements.txt
+└── README.md
+```
+
+---
+
+## 📥 Installation
+
+### 1️⃣ Clone the Repository
+
+```bash
+git clone https://github.com/RK1905101/Mini_Python_Projects/AI-Background-Remover
+cd AI-Background-Remover
+```
+
+### 2️⃣ Install Dependencies
+
+> Recommended: Use a virtual environment ✅
+
+```bash
+pip install -r requirements.txt
+```
+
+If `onnxruntime` or `rembg` fails on your system:
+
+```bash
+pip install rembg onnxruntime
+```
+
+---
+
+## 🖼️ Streamlit GUI Usage
+
+Run the application:
+
+```bash
+streamlit run src/streamlit_app.py
+```
+
+Then open the browser link shown in the terminal ✅
+Upload your image → Click **Remove Background** → Download PNG
+
+---
+
+## 💻 CLI Tool Usage
+
+```bash
+python src/cli_app.py input.jpg -o output.png
+```
+
+## 📸 Screenshots
+
+| Before                              | 
+| ----------------------------------- | 
+| <img width="200" height="1024" alt="bgremover" src="https://github.com/user-attachments/assets/5b93d1ae-e3cc-424c-a5e6-c5a3bbc75e69" />
+| After                             | 
+<img width="200" height="1024" alt="output2" src="https://github.com/user-attachments/assets/7087cf33-b6eb-444d-81b2-187a498d4a1d" />|
+

AI Background Remover/requirements.txt

@@ -0,0 +1,12 @@
+# 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`.

AI Background Remover/src/cli_app.py

@@ -0,0 +1,16 @@
+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"✅ 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)

AI Background Remover/src/streamlit_app.py

@@ -0,0 +1,41 @@
+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="🖼️", layout="centered")
+st.title("🖼️ 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)  # ✅ Reset pointer before second read
+            input_image = uploaded_file.read()
+
+            output = remove(input_image)
+            result_image = Image.open(io.BytesIO(output))
+
+        st.success("✅ 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="📥 Download Output",
+            data=byte_data,
+            file_name="removed_bg.png",
+            mime="image/png"
+        )