{"id":26051777,"url":"https://github.com/chandkund/recipe-recommendations","last_synced_at":"2026-04-06T21:31:14.226Z","repository":{"id":277215632,"uuid":"864264307","full_name":"chandkund/Recipe-Recommendations","owner":"chandkund","description":"The Recipe Recommendations project leverages natural language processing (NLP) techniques to process recipe descriptions and classify them into categories like desserts, main courses, and more. 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The system provides personalized recommendations by analyzing the text input and suggesting relevant recipes.\n \nThe deep learning model uses LSTM layers to capture the context of the recipe descriptions, and it is trained on labeled data to classify the recipes into various categories. \n\n## Datasets\n  \nThe dataset consists of the following columns:\n \n1. **Describe**: Textual descriptions of the recipes.\n2. **C_Type**: The category or type of the recipe (e.g., Dessert, Main Course). This is used as the target for classification.\n\n## Installation\n\nTo run this project, you will need to install the necessary dependencies:\n\n```bash\npip install pandas numpy tensorflow matplotlib\n```\n\n## Model Architecture\n\nThe model is built using the following layers:\n- **Embedding Layer**: Converts words into vector representations.\n- **Bidirectional LSTM**: Two layers to capture forward and backward context.\n- **Dropout Layers**: To prevent overfitting.\n- **Dense Layers**: Fully connected layers for classification.\n- **Softmax Layer**: The final activation layer for multi-class classification.\n\n## How to Use\n\n1. Clone the repository:\n```bash\ngit clone https://github.com/chandkund/Recipe-Recommendations.git\n```\n\n2. Install the required packages:\n```bash\npip install -r requirements.txt\n```\n\n3. Run the model training:\n```python\npython Recipe Recommendations.ipynb\n```\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fchandkund%2Frecipe-recommendations","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fchandkund%2Frecipe-recommendations","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fchandkund%2Frecipe-recommendations/lists"}