Employee Entry Management System

🚀 Revolutionize employee attendance tracking with real-time face recognition!

This web application leverages cutting-edge face recognition technology to record employee presence in real-time, log entries, and generate exportable PDF reports. Perfect for modern workplaces!

Upcoming Features (Click to Jump ↓)

Future Enhancements with Blockchain Integration

• 1. Immutable Attendance Logs
• 2. Tamper-Proof Audit Trails
• 3. Decentralized Access Control
• 4. Smart Contracts for Payroll Automation

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Key Features

✅ Upload User Image for Recognition
✅ Real-time face recognition with high accuracy
✅ Automatic logging of entry timestamps
✅ Export logs to PDF format for easy reporting
✅ Intuitive web-based interface

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Deployment Instructions

Prerequisites

Before you begin, ensure the following are installed on your system:

• Node.js (Download from nodejs.org)
• npm (Comes bundled with Node.js)

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🛠️ Installation Steps

1. Clone the Repository (If using Git):

   git clone https://github.com/your-username/Employee-Entry-Management.git
   cd Employee-Entry-Managementhttps://github.com/HarK-github/Employee-Entry-Management.githttps://github.com/HarK-github/Employee-Entry-Management.git

2. Install Dependencies:

   npm install

3. Setup Environment Variables:

   • Create a .env file in the project root directory.
   • Add the following configuration:

     PORT=8080

4. Start the Server:

   node index.js

5. Access the Application:

   • Open your browser and navigate to:

     http://localhost:8080
     

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📸 Usage Guide

1. Click Login to Enter:

   • Note: Authentication is currently a dummy page for demonstration purposes.
   

2. Allow Web Camera Access:

   • Grant camera access when prompted by your browser.
   

3. Upload User Image for Face Recognition:

   • Navigate to:

     http://localhost:8080/updateimg
     

   • Upload your profile image (e.g., "user.png") to the designated folder (e.g., /uploads).
   • This image will be used for face matching during entry detection.
   • Click Upload to proceed.
   

4. Start Face Recognition:

   • Click Start Capture to begin real-time face recognition.
   • The system will detect your presence and update the Work History section.

5. Download Work Report as PDF:

   • Click Download Report to export the attendance log as a PDF.
   • The PDF will be saved to your device.
   

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💻 Technology Stack

• Frontend: HTML, CSS, JavaScript, EJS
• Backend: Node.js, Express.js
• Face Recognition: face-api.js

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Future Enhancements with Blockchain Integration

1. Immutable Attendance Logs

• Every employee check-in is hashed (timestamp + user ID + device fingerprint) and recorded on-chain.
• Ensures a tamper-proof and verifiable record of attendance—ideal for audits and compliance.
• ✅ Tech Stack:
  • Hyperledger Fabric for private enterprise environments
  • Ethereum (Goerli or Sepolia testnet) for public prototyping

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2. Tamper-Proof Audit Trails

• Any manual intervention (e.g., HR edits, late log justifications) is also hashed and stored on the blockchain.
• Enables a fully transparent, non-repudiable log of access/modifications, with full traceability of who did what and when.
• Makes post-incident investigations easy and trustworthy.

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3. Decentralized Access Control

• Leverage smart contracts to manage role-based access:
  • Employees, HR, Admins each have specific permissions.
• Use wallet-based authentication (e.g., MetaMask) to verify identities and sign actions.
• Eliminates reliance on traditional username/password systems.

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4. Smart Contracts for Payroll Automation

• Seamlessly link attendance data with payroll through smart contracts.
• If attendance meets policy thresholds (e.g., minimum check-ins), the contract auto-approves salary release.

// Solidity-style pseudocode for payroll logic
if (employeeCheckIns[employeeId][month] >= requiredDays) {
    payrollContract.releaseSalary(employeeWallet);
}

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🛠️ Languages and Tools:

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👨‍💻 Developed By

Harshit Kandpal 👨‍💻 🔗

🤝 Contributions Welcome!

Feel free to open an issue or submit a pull request to contribute to this project. Let’s build something amazing together!