ShantiKumariGautam/CanaraSync.AI

CanaraSync.AI is a prototype-level project with negligible market traction (1 star, 1 fork) and zero development velocity over the last nine months. While the concept of behavioral biometrics (keystroke dynamics, gait analysis, touch pressure) is a valid security frontier, implementing this at the React Native/Expo layer introduces significant limitations compared to native implementations. The project's defensibility is low because it lacks a proprietary biometric dataset or a novel architectural breakthrough; it functions more as a proof-of-concept or a student project. From a competitive standpoint, companies like BioCatch or LexisNexis (BehavioSec) own this space with deep intellectual property and massive datasets. Furthermore, Apple and Google represent the ultimate 'platform domination' risk; as they control the OS and hardware sensors, they can (and do) implement continuous authentication at a level of fidelity that a cross-platform app cannot match. Any commercial value here would reside in the specific ML models used for classification, which are not demonstrated as production-ready in this repository.