Lab Equipment Calibration Manager

January 2024 – April 2024

Python Django PostgreSQL REST API

Overview

Developed a comprehensive web-based system for managing laboratory equipment calibration schedules, maintenance records, and compliance tracking. The system streamlines the calibration process and ensures regulatory compliance for laboratory equipment.

Key Features

  • Automated Scheduling: Intelligent calibration scheduling system that automatically generates reminders and notifications for upcoming calibrations.
  • Equipment Database: Comprehensive database for storing equipment specifications, calibration history, and maintenance records.
  • Certificate Management: Digital storage and retrieval of calibration certificates with version control.
  • Compliance Tracking: Real-time monitoring of compliance status with regulatory standards (ISO 17025, FDA, etc.).
  • Reporting Dashboard: Interactive dashboards with visualizations for calibration status, upcoming deadlines, and compliance metrics.
  • User Role Management: Multi-level access control for administrators, technicians, and auditors.

Technical Implementation

  • Built RESTful API using Django REST Framework for frontend-backend communication.
  • Implemented PostgreSQL database with optimized queries for fast data retrieval.
  • Designed notification system using Celery for asynchronous task processing.
  • Created automated email alerts for calibration due dates and compliance issues.
  • Developed data visualization components using Chart.js for analytics dashboard.
  • Implemented secure authentication and authorization using JWT tokens.

Impact

  • Reduced calibration scheduling errors by 85% through automation.
  • Improved compliance tracking efficiency by 60%.
  • Decreased equipment downtime by 40% through proactive maintenance scheduling.
  • Streamlined audit processes with centralized record-keeping.

Technologies Used

Backend: Python, Django, Django REST Framework, Celery
Database: PostgreSQL
Frontend: HTML, CSS, JavaScript, Bootstrap, Chart.js
DevOps: Docker, Git