Welcome to the Deepfake Voice Detection and Fraud Analysis Mobile App project! This open-source project aims to develop a mobile app that can detect deepfake voices and analyze caller content for potential fraud. We invite contributors from the open-source community to help us enhance and improve this app.

• Deepfake voice detection using machine learning models.
• Speech-to-text conversion to analyze caller content.
• Text analysis for fraud detection and content analysis.
• User-friendly mobile app interface.
• Real-time call recording and analysis.

• ChatGPT's APi or Open source LLM's for Text analysis.
• Speech Recognition in hindi (TTS).
• Tortoise or Custom ML deepfake voice detection model.
• React native for mobile deployment.

1. Clone the repository:

   git clone https://github.com/iamamanporwal/speech-synthesis-analysis.git

We welcome contributions from the open-source community to improve and expand the capabilities of this app. To contribute, follow these steps:

1. Fork the repository to your own GitHub account.
2. Create a new branch for your feature or bug fix: git checkout -b feature/your-feature-name or bugfix/issue-name.
3. Make your changes and ensure your code adheres to our coding standards.
4. Test your changes thoroughly.
5. Create a pull request (PR) to the main branch of this repository.

Our team will review your PR and provide feedback. Once your contribution is accepted, it will be merged into the project.

• If you have questions or need assistance, please create an issue in this repository.
• For general inquiries, contact our team at [email protected].

We look forward to your valuable contributions to this project! Thank you for helping us build a more secure and reliable deepfake detection and fraud analysis app.