{"id":21022390,"url":"https://github.com/sudarshanc00/smishing","last_synced_at":"2026-04-14T06:03:06.819Z","repository":{"id":263378588,"uuid":"847143051","full_name":"SudarshanC00/Smishing","owner":"SudarshanC00","description":"This project aims to classify text messages to detect potential smishing (SMS phishing) attacks. 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Using machine learning, the project provides a classifier that can differentiate between legitimate messages and smishing attempts, helping to prevent scams.\n\nThe classification model is deployed using a Streamlit app, allowing users to input text messages and get real-time classification results.\n\n## Files\n- **app.py**: Streamlit application code. This file loads the trained model and vectorizer and uses them to classify input messages as smishing or legitimate.\n- **model.pkl**: Trained classification model for detecting smishing messages.\n- **vectorizer.pkl**: Pre-trained vectorizer model used to transform input text data for classification.\n- **nltk.txt**: File specifying NLTK dependencies (e.g., stop words) needed for text preprocessing.\n- **requirements.txt**: List of dependencies required to run the project, including Streamlit and other libraries.\n\n## Installation\n1. Clone this repository:\n   ```bash\n   git clone https://github.com/SudarshanC00/Smishing.git\n   ```\n2. Navigate to the project directory:\n   ```bash\n   cd Smishing\n   ```\n3. Install dependencies:\n   ```bash\n   pip install -r requirements.txt\n   ```\n4. Download required NLTK data:\n   ```bash\n   python -m nltk.downloader -d /usr/local/share/nltk_data -r nltk.txt\n   ```\n\n## Usage\n1. Run the Streamlit app:\n   ```bash\n   streamlit run app.py\n   ```\n2. Open the provided local URL in your browser.\n3. Enter a text message to classify it as either legitimate or smishing.\n\n## Model Details\n- The model and vectorizer were pre-trained to accurately classify smishing messages.\n- Both the model and vectorizer files (`model.pkl` and `vectorizer.pkl`) are loaded in `app.py` to make predictions.\n\n## License\nThis project is licensed under the MIT License.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsudarshanc00%2Fsmishing","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsudarshanc00%2Fsmishing","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsudarshanc00%2Fsmishing/lists"}