Text & link analysis
Users can submit suspicious content for structured risk analysis through the mobile client and REST API flow.
SentinelAI is a mobile-first security platform designed to help users analyze suspicious text, links, QR codes and image-based content before taking action.
Multiple signals indicate a possible phishing or impersonation attempt.
Interface concept — not a production screenshot
SentinelAI is designed around a simple idea: give users a fast way to inspect potentially fraudulent content without silently monitoring their private communications.
Users can submit suspicious content for structured risk analysis through the mobile client and REST API flow.
QR input expands the analysis workflow beyond copied text and supports real-world scam scenarios.
Image-based content can be converted into analyzable text through an OCR input flow.
Users can maintain personal trust and caution lists to support individualized risk decisions.
Account and JWT-based authentication foundations are part of the platform architecture.
RevenueCat, Free/Premium entitlement concepts, usage limits and paywall foundations are prepared for production integration.
The product combines a cross-platform mobile client, API backend, relational data, caching infrastructure and containerized development/deployment foundations.
SentinelAI's product direction is intentionally centered on content the user chooses to submit. The platform is not designed around silently reading personal communications or monitoring a device in the background.
User-initiated analysisContent is submitted intentionally for analysis.
No automatic SMS or call-log readingPrivate device data is not silently harvested for the core workflow.
No background clipboard or screen monitoringThe user remains in control of what is analyzed.
SentinelAI is currently positioned as a pre-launch / development-stage technology asset. The project provides a foundation for a buyer who wants to continue product development, complete production integrations, launch, monetize and scale a consumer or B2B security offering.
Mobile application codebaseFlutter / Dart
Backend servicesFastAPI / Python
Data & infrastructure foundationPostgreSQL, Redis, Docker
CI foundationGitHub Actions workflows
Monetization foundationFree/Premium entitlement & usage-limit structure
Privacy-first scam risk analysis technology for the next stage of development and commercialization.