[ 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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