Garbage Classifier ♻️

An AI-powered Real-Time Waste Detector using Streamlit & TensorFlow

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Overview

Garbage Classifier is a smart web application built with Streamlit, allowing users to classify waste in real time using a trained Keras deep learning model. Whether it's a biodegradable or non-biodegradable, this app helps promote sustainable waste segregation with the power of machine learning and computer vision.

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Features 🚀

✅ Real-time Waste Detection – Upload an image or capture live to detect the type of waste.
✅ Built with Deep Learning – Uses a trained Keras model for high accuracy waste classification.
✅ Clean Streamlit Interface – Simple and intuitive UI for ease of use.
✅ Instant Feedback – Get classification results immediately upon uploading.
✅ Lightweight Deployment – Easily deployable on Streamlit Cloud.

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📸 Screenshot

Tech Stack 🛠

• Frontend & Deployment: Streamlit
• Backend: Python
• Deep Learning: TensorFlow / Keras
• Libraries: NumPy, PIL, TensorFlow, Streamlit
• Model File: keras_model_fixed.h5

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Installation & Setup 🏗

1. Clone the repository:

git clone https://github.com/mohammadhashim135/Garbage-Classifier.git
cd your-repo-name

2. Create a Virtual Environment

python -m venv .venv
# Activate it
# Windows:
.venv\Scripts\activate
# Mac/Linux:
source .venv/bin/activate

3. Install Dependencies

python -m venv venv
source venv/bin/activate  # On Windows use: venv\Scripts\activate

4. Start the Application

streamlit run app.py

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Usage Guide 📝

🔹 Click Browse Files or Use Camera to upload an image of the waste.

🔹 The model predicts whether the waste is Biodegradable or Non-Biodegradable.

🔹 View the prediction and take action accordingly.

🔹 You can re-upload to classify more waste.

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Project Structure 📂

Garbage-Classifier/
│
├── Glass/           # Folder containing glass waste
│   ├── glass1.png
│   ├── glass2.png
│   ├── ...
├── Plastic/           # Folder containing plastic waste
│   ├── plastic1.png
│   ├── plastic.png
│   ├── ...
├── app.py                     # Main Streamlit app file
├── keras_model_fixed.h5       # Pre-trained model for waste classification
├── labels.txt                 # Class labels for the model
├── sustainable_dev_goal/      # Folder containing SDG icons
│   ├── 12.png
│   ├── 13.png
│   ├── ...
└── requirements.txt           # Python package dependencies

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Contributing 🤝

Contributions are welcome! If you’d like to improve LetMeCut, feel free to fork the repo and submit a pull request.

Steps to Contribute:

Fork the repository

1. Create a new branch:

git checkout -b feature-branch

2. Make your changes and commit:

git commit -m "Added new feature"

3. Push to the branch:

git push origin feature-branch

Open a Pull Request

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License 📜

This project is licensed under the MIT License.

💡 Developed with ❤️ by Mohammad Hashim