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| # English Text Classifier | |
| ## Overview | |
| Detects whether English-language text is AI-generated or human-written. | |
| ## Model Pipeline | |
| - Tokenizer: GPT-2 Tokenizer | |
| - Model: Custom trained binary classifier | |
| ## Dataset | |
| - Balanced dataset: Human vs AI-generated (ChatGPT, Claude, etc.) | |
| - Tokenized and fed into the model using PyTorch/TensorFlow | |
| ## Code Location | |
| - Controller: `features/text_classifier/controller.py` | |
| - Inference: `features/text_classifier/inferencer.py` | |
| - Model Loader: `features/text_classifier/model_loader.py` | |
| - Preprocessor: `features/text_classifier/preprocess.py` | |
| ## API | |
| - Endpoint: [ENDPOINTS](../api_endpoints.md) | |
| - Input: Raw English text | |
| - Output: Prediction result with probability/confidence | |
| [🔙 Back to Main README](../README.md) | |