[ CASE STUDY ]

Biometric Attendance Automation

Automation pipeline that turned raw biometric device data into clean attendance records for Shree Balaji Group of Companies.

In Production PythonFastAPIPostgreSQL

The Problem

Shree Balaji Group of Companies (sbgrps.com) had biometric attendance hardware generating data that wasn't being processed efficiently. Every day meant manual exports and manual entry — slow, repetitive, and error-prone. The hardware worked fine. Everything after it was the bottleneck.

What I Built

  • An automation pipeline that reads output straight from the biometric devices, processes the raw attendance records, and pushes clean data into their systems.
  • FastAPI handles the processing layer, PostgreSQL stores the records, and Python glues the device output to the rest of the flow.
  • The design goal was simple: no human should ever have to touch an export file again. Eliminated manual handling entirely.

Result

Running in production at a real company with real employees clocking in every day. The data flows on its own now.

PythonFastAPIPostgreSQL
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