by ItisShikhar
Screens Node.js text for profanity and toxicity using Jev and Laya System 1 models
Fast, drop-in multilingual profanity and toxicity screener for Node.js, powered by System 1 models like TypeSafe AI Jev and Laya. Catches leetspeak, character spacing, and romanized profanity across languages including Kannada, Telugu, Tamil, Hindi, and Bengali. ~50-500ms latency.
Platforms
Use cases
Related projects
laya
NandhaKishorM
Runs multilingual typed-decision models and provides routing, serving, and integration options
laya
convaiinnovations
A multilingual-ready System 1 model that returns calibrated typed decisions over text in one pass
laya
receptron
Runs Laya typed-decision models from Node.js and TypeScript through ONNX Runtime
openJev-verdict-2.0
Heman10x-NGU
Develops and benchmarks a non-autoregressive typed-decision model against Jev and Laya
laya-multilingual
convaiinnovations
A multilingual System 1 model that returns calibrated typed decisions over text in one pass
laya-demo
convaiinnovations
A Gradio demo for Laya typed decisions, multilingual routing, moderation, and RAG filtering