TouchDetection.ai is a system that detects instances where AI has been used to create or manipulate multimedia content. This includes identifying deepfake videos, detecting computer-generated text or audio, and identifying images that have been generated by a GAN.
- Detects deepfake videos
- Identifies computer-generated text and audio
- Detects images generated by GAN
- Incorporates metadata analysis and watermarking techniques
TouchDetection.ai uses a combination of techniques to detect AI-generated content. These include:
- Image analysis algorithms to detect patterns or inconsistencies in images
- Machine learning models to analyze audio's spectral characteristics
- Natural language processing techniques to detect patterns in text
To use TouchDetection.ai, you need to have Python 3.6 or later installed on your system. You can then install the required packages by running:
pip install -r requirements.txtYou can use TouchDetection.ai by running the following command:
python detect.py --input path/to/input_fileA dataset of AI-generated and human-generated content is used to train and evaluate the system.
While TouchDetection.ai aims to detect AI-generated content with a high degree of accuracy, it may not be able to detect all instances of AI-generated content.
Future work includes improving the detection of AI-generated text and audio, and incorporating additional techniques for detecting AI-generated content.
All contributions are welcome. Please open an issue or submit a pull request if you would like to contribute.