F

fingerprinting

InceptID is an open-source AI provenance and authenticity framework that traces images, videos, audio, and text back to their original source across platforms. It uses multimodal fingerprinting, steganographic provenance embedding, and cross-platform intelligence to reconstruct how content is created, modified, and shared, helping establish verifiable origin, detect manipulation, and preserve digital authorship in an AI-driven internet. https://roxanneardary.com/inceptid/

Project SynthesisMotion is an open-source AGPL-3.0+ research framework for adaptive motion intelligence systems. It combines real-time vehicle identity modeling, physics-informed dynamics, and adaptive control with a formal safety verification layer. The system is designed to continuously learn how a physical vehicle behaves, adapt to changes in real time, and enforce strict safety constraints during operation. https://roxanneardary.com/project-synthesismotion/

ARCA is a per-user provenance and originality ledger that tracks digital content across a creator’s personal history to determine whether each new post is genuinely novel, meaningfully contributed, and eligible for monetization. It combines timestamped archival records, content fingerprinting, behavioral authenticity scoring, and a transparent pre-submission evaluation system to ensure users always understand the originality and payout status of their content before publishing. https://roxanneardary.com/arca/

Exploring fingerprinting techniques in AI to uniquely identify digital media or data points. This project covers use cases like content authentication, watermarking, and data integrity checks, with hands-on coding examples for generating and comparing fingerprints using different algorithms.

A Python module for collecting and providing popular user agent strings, with a requests session which rotates user agents.