Deep-Detect

Deep-Detect is a Python project with a Streamlit web interface for deep learning-based detection tasks.

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🛠️ Installation & Local Usage

1. Clone the repository

   git clone https://github.com/vishnutej000/Deep-Detect.git
   cd Deep-Detect

2. (Optional but recommended) Create a virtual environment

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

3. Install dependencies

   pip install -r requirements.txt

4. Run the Streamlit app

   streamlit run app.py

   (Replace app.py with your main Streamlit script if it has a different name.)

5. Open your browser and go to:
   http://localhost:8501

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📝 Example Project Structure

Deep-Detect/
├── app.py                # Streamlit app entry point
├── requirements.txt      # Python dependencies
├── models/               # (optional) Model files
├── utils.py              # (optional) Helper functions
└── README.md

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⚙️ Requirements

• Python 3.8 or higher
• Streamlit
• (Other dependencies listed in requirements.txt)

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💡 Usage

• Upload an image or data sample in the web UI.
• Run detection.
• View results and visualizations in your browser.

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🙋 Support

For questions or issues, please open a GitHub issue.