Biometric & Face API Integration

I already run a fingerprint-based biometric system and now need it to work side-by-side with a cloud face-recognition service, tied together through their REST APIs and surfaced in one place. Your first step will be to pull enrollment and verification events out of the existing fingerprint SDK. On the face-recognition side I am flexible—AWS Rekognition, Azure Face API, or Google Cloud Vision are all options—so you may choose whichever platform best meets accuracy, latency, and cost targets. The heart of the project is a unified web interface that stores and displays real-time activity logs from both modalities. Every time someone scans a finger or their face is captured, a single entry should appear with timestamp, user ID, device and confidence score. Deliverables • Middleware that bridges the fingerprint software and the chosen face API • Responsive dashboard showing consolidated activity logs in real time • Database schema and export function (CSV) for the logs • Source code, build instructions, and brief documentation • Walk-through session for deployment and configuration Acceptance criteria 1. Demonstration of a fingerprint scan and a face capture appearing in the same log. 2. Logs persist after restart and export correctly. 3. Fresh install completes on Windows or Linux without manual code edits. If you have solid experience with biometric SDKs, RESTful API design, and frameworks such as Node.js, Python (Flask/FastAPI), or .NET, please outline your proposed approach and timeline.