lostt-scorpion/Deepfake_Detection_Generation

This is a zero-star, inactive (333 days old with no velocity) personal learning project with no users or adoption. The README provides no novel methodology—it implements standard deep learning approaches (CNNs for classification, autoencoders for generation) applied to a common problem domain (deepfake detection/generation). The project appears to be a student exercise or tutorial implementation, as evidenced by the lack of community engagement, documentation depth, and active development. Deepfake detection and generation are well-explored domains with multiple mature solutions (MediaPipe, Face2Face, established academic benchmarks). Frontier labs (OpenAI, Google, Anthropic) have either deployed detection systems internally or integrated detection into content moderation pipelines; this amateur implementation poses zero competitive threat. The project is trivially reproducible by following standard ML textbooks. No moat, no network effects, no lock-in. High frontier risk is assigned because this addresses a capability (deepfake detection/generation) that frontier labs actively work on as part of responsible AI and content safety, making any public implementation immediately superseded by their proprietary solutions.