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This project aims to assist developers, students, and educators by providing a structured way to convert psuedo code to c++ code.\n\n## Features\n- Utilizes a transformer architecture for sequence-to-sequence translation.\n- Supports tokenization and vocabulary building for both code and pseudocode.\n- Implements positional encoding and attention mechanisms to enhance translation accuracy.\n- Uses PyTorch for efficient model training and inference.\n\n## Installation\nClone the repository and install the dependencies:\n```bash\npip install -r requirements.txt\n```\n\n\n## Requirements\n- Python 3.x\n- PyTorch\n- Pandas\n- tqdm\n\n## Contributing\nContributions are welcome! 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