TrustLens is a lightweight, deterministic AI evaluation tool designed for educational and demonstration purposes. It focuses on transparency, explainability, and responsible AI use.

This project is provided as a demonstration and may not receive continuous updates or patches.

If you discover a potential security issue or vulnerability:

• Please open an issue in this repository
• Clearly describe the issue and steps to reproduce it
• Do not include sensitive data in your report

TrustLens is an assistive evaluation tool and:

• Does not guarantee factual correctness
• Does not replace human judgment or expert validation
• Does not perform live web verification or external data validation

Users are responsible for verifying information against reliable sources before submission or use.

• The app uses deterministic, rule-based analysis
• It does not access external systems, APIs, or databases
• It does not store or transmit user data
• Results are based solely on input provided by the user

TrustLens follows core responsible AI principles:

• Transparency – scoring logic is visible and explainable
• Explainability – users can understand why results were generated
• Safety – clear limitations and disclaimers are provided
• Validation Awareness – highlights evidence gaps and uncertainty
• Auditability – outputs include traceable signals and rule triggers

For questions or concerns, please use the repository issue tracker.

TANO Research
Trust • Accuracy • Neutrality • Organization • Transparency