metadata

title: Garbage Classifier Ui
emoji: 👁
colorFrom: blue
colorTo: blue
sdk: gradio
sdk_version: 5.34.2
app_file: app.py
pinned: false
license: mit
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 🚀

🔗 GitHub Repo: SykamRaju/Garbage-Classifier

🖼️ How it works

Upload an image of waste material (e.g. bottle, paper, can).
The backend model predicts the category.
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 Copy Edit

🧪 Example Predictions

Image	Predicted Class
	`Plastic`
	`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 and love math, astronomy, and stargazing!

📜 License

This project is licensed under the MIT License.