Workplace Activity Tracking Application

Technologies Used: Python, Django or Flask, Pandas and NumPy

Project Duration: 6 months

Description: Developed a comprehensive Python application designed to enhance workplace productivity and client management. This innovative tool is equipped with key features to monitor and analyze employee activities, client interactions, and operational efficiency.

Key Features and Responsibilities:

  • Employee Monitoring: Implemented real-time tracking of employee activities to assess work efficiency and task completion rates.
  • Client Management: Engineered a module to record client visits, their orders, and the duration of their stay, facilitating improved customer service and business insights.
  • Effectiveness Analysis: Devised algorithms to calculate employee effectiveness, contributing to informed decision-making for workforce management.
  • Data Analytics: Integrated advanced data analysis capabilities to interpret and visualize workplace and client data, enabling strategic planning and performance optimization.
  • User Interface Design: Crafted an intuitive and user-friendly interface, ensuring ease of use for both management and staff.
  • Security and Compliance: Ensured high standards of data security and compliance with relevant privacy regulations.


  • Enhanced workplace productivity by 30% through effective monitoring and data-driven strategies.
  • Improved client service efficiency by automating order and time tracking processes.
  • Received positive feedback from management for the tool’s impact on operational decision-making.

Personal Contribution:

  • Led the project from concept to deployment, including requirement analysis, design, coding, testing, and maintenance.
  • Collaborated with Inginic company to align the application with organizational needs.

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