Comprehensive Protection Against Deepfakes, Deepnudes & Harmful Content
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Updated
Jan 3, 2026 - Python
Comprehensive Protection Against Deepfakes, Deepnudes & Harmful Content
Privacy-first, open-source AI for accurate facial age verification and child-safe identity checks.
The first open-source, structured, AI-traversable legal knowledge graph of the entire US child protective services system. 2,142 decision nodes across 51 jurisdictions. CC BY-SA 4.0.
Official Python SDK for Tuteliq — AI-powered child safety API for detecting bullying, grooming, and unsafe content
Interactive bedtime story application for children aged 5–10, featuring multi-layer safety, AI-powered story generation, and audio narration.
Open-source behavioral intelligence for child safety moderation.
Open-source child-safe AI companion app prototype with Android client, FastAPI backend, local ASR, voice/vision, parent controls, and safety guardrails.
Edge AI nursery safety guard — MediaPipe BlazePose on Raspberry Pi 4 v1. Real-time child monitoring, no cloud.
Scrapes all child car seats tested by adac.de and outputs them to DataFrame and/or Excel. This allows you to filter by any category.
Privacy-first face blurring to protect children's faces before sharing photos online. 100% local, no cloud. Desktop app (PyQt6) + browser extension (planned). MIT.
Monitor and auto-fix Radarr/Sonarr + Real-Debrid issues with Babysitarr, a self-healing daemon for stuck downloads, failed imports, and queue jams
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