Prismo – AI Facial Recognition Attendance System

Prismo is an intelligent attendance management system designed to automate employee attendance tracking using facial recognition and workflow automation.

I designed and developed the backend infrastructure and integrated the facial recognition system with a BPM workflow for automated attendance processing.

Key features include:

* Facial recognition-based attendance detection

* Automatic late-arrival detection

* Automated justification validation through BPM workflows

* REST APIs for attendance management

* Microservices-oriented architecture

* MongoDB database

* Containerized deployment with Docker

* Kubernetes-based orchestration

* GitLab CI/CD pipeline for automated delivery

* UI/UX and system design using Figma and UML

Technologies: Python, FastAPI, DeepFace, MongoDB, Docker, Kubernetes, GitLab CI/CD, Bonita BPM, Figma, UML.