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erp-attendance.ai

GitHub repo

Overview

erp-attendance.ai is an intelligent ERP (Enterprise Resource Planning) module designed to streamline and automate attendance management in organizations, schools, and universities. Leveraging AI-powered features, the system facilitates real-time tracking, reporting, and analysis of attendance data, integrating seamlessly with existing ERP solutions.

Features

  • Automated Attendance Tracking: Utilize AI for facial recognition, QR, RFID, and other automated methods.
  • User Management: Efficiently manage students, staff, and other participants.
  • Reporting & Analytics: Gain insights with detailed attendance reports, absence trends, and data visualization.
  • Seamless Integration: Easily integrate with timetable, payroll, and HR modules.
  • Notifications: Automated alerts for absences, late arrivals, and policy breaches.
  • Mobile Friendly: Responsive UI for access on desktop and mobile devices.
  • Security & Privacy: GDPR-compliant handling of sensitive attendance data.

Technology Stack

  • Programming Languages: List of main languages used ( Python, JavaScript, c/c++ )
  • Frameworks/Libraries: Mention frameworks ( React, Node.js, Flask, Django, TensorFlow, transformer ,ollama )
  • Database: PostgreSQL, MongoDB, MySQL

Getting Started

Prerequisites

  • Node.js >= 14.x (frontend/backend uses JS/TS)
  • Python >= 3.7 (Python)
  • Database service (see above)
  • [Other requirements here Under Development phase]

Installation

  1. Clone the repository

    git clone https://github.com/Pushpenderrathore/erp-attendance.ai.git
    cd erp-attendance.ai
  2. Install dependencies

    # Example for Node.js
    npm install
    # Example for Python
    pip install -r requirements.txt
  3. Setup environment variables
    Create a .env file based on .env.example and input your credentials.

  4. Run the application

    # Example for Node.js
    npm run start
    # Example for Python
    python app.py

Usage

  • Register users
  • Configure attendance methods (facial recognition, RFID, QR, etc.)
  • View dashboards and reports
  • Managing permissions and notifications

Contributing

Contributions, issues, and feature requests are welcome!
Please see the CONTRIBUTING.md for guidelines.

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Maintainer: Pushpenderrathore
For questions, contact via GitHub Issues.


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BRCM auto ERP attendance with Local Neural Networks and holding Data AES and Argon2_encryption in development Phase...

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