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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 | |
[π Back to Main README](../README.md) | |