readme

README.md

@@ -12,3 +12,80 @@ short_description: Garbage Classifier UI
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+
+# 🧠 Garbage Classifier UI
+
+A real-world deep learning application that classifies garbage images into categories like **plastic**, **metal**, **cardboard**, etc.
+
+This app uses a **custom-trained CNN model** to demonstrate computer vision for sustainability-related use cases. Powered by **TensorFlow** and deployed with **Streamlit** on Hugging Face Spaces.
+
+🔗 **Live App**: [Click to open 🚀](https://huggingface.co/spaces/sykamraju/garbage-classifier-ui)
+
+🔗 **GitHub Repo**: [SykamRaju/Garbage-Classifier](https://github.com/SykamRaju/Garbage-Classifier)
+
+---
+
+## 🖼️ How it works
+
+1. Upload an image of waste material (e.g. bottle, paper, can).
+2. The backend model predicts the category.
+3. The prediction and confidence score are displayed instantly.
+
+---
+
+## 📦 Tech Stack
+
+- **Model**: TensorFlow (CNN trained on Garbage Classification dataset)
+- **Frontend**: Streamlit
+- **Deployment**: Hugging Face Spaces
+- **Language**: Python
+
+---
+
+## 📁 Project Structure
+
+.
+├── model/ # Saved Keras model
+├── src/
+│ └── app.py # Streamlit frontend app
+├── utils.py # Helper functions
+├── requirements.txt # Python dependencies
+└── README.md # You're reading this 🙂
+
+yaml
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+---
+
+## 🧪 Example Predictions
+
+| Image | Predicted Class |
+|-------|-----------------|
+| ![Plastic](https://github.com/SykamRaju/Garbage-Classifier/raw/main/samples/plastic_sample.jpg) | `Plastic` |
+| ![Metal](https://github.com/SykamRaju/Garbage-Classifier/raw/main/samples/metal_sample.jpg)     | `Metal`   |
+
+---
+
+## 🙋‍♂️ About Me
+
+Hi, I'm **Raju Sykam** — a full-stack developer and AI enthusiast with 20+ years of software experience.  
+I'm currently building a suite of AI projects in Python to showcase my skills.  
+🔭 I also run [FreeAstrologyAPI.com](https://freeastrologyapi.com) and love math, astronomy, and stargazing!
+
+---
+
+## 📜 License
+
+This project is licensed under the MIT License.
+
+---
+
+Let me know if you’d like a downloadable `.md` file or want to push this from Git.
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