Teacher's AI Attendance System

Overview

The Teacher's AI Attendance System or TeachAI in short is a web application that ensures an anti-proxy attendance mechanism using GPS validation and allows teachers to view attendance records, including the most recent previous session.

Features

1. Face Recognition

• Detects and verifies student faces.
• Captures live images for attendance verification.

2. Database

• Stores user data (teachers and students), attendance records, and session details in a JSON-based storage system.
• Ensures no duplicate email IDs during signup.

3. GPS-Based Anti-Proxy System

• Students must enable GPS when marking attendance.
• If a student is outside the teacher-defined distance, they are marked absent.

4. Camera Integration

• Uses the device’s camera to capture student images for face verification.

5. Attendance Persistence

• Attendance data remains after logout using cookies or similar mechanisms.
• The teacher’s dashboard displays previous session records alongside the current session.

User Interfaces

Login & Signup Pages

Login Page:

• Separate login for teachers and students.
• Fields: Email, Password, Login Button.

Signup Page:

• Students: Email (unique), password, upload face image (mandatory).
• Teachers: Email (unique), password (no image required).

Student Dashboard

• Displays attendance history (date, present/absent status).
• Allows students to mark attendance by clicking a photo.
• Attendance validation:
  • Face matches with the signup image.
  • GPS location is within the teacher-set distance.
  • Session code provided by the teacher is valid.

Teacher Dashboard

• View attendance records for the current and previous session.
• Modify attendance manually (change absent to present or vice versa).
• Set allowed GPS distance for attendance verification.
• Generate session codes (valid for a limited time, e.g., 1 hour).
• View students who attempted attendance outside the allowed GPS range.
• Export attendance data as an Excel file.
• Open/close attendance within a specific time window.

Attendance Marking Process

1. Student clicks a photo using the system's camera.
2. The system verifies the face with the stored signup image.
3. GPS validation checks if the student is within the allowed distance.
4. If both conditions (face match + GPS) pass and the session code is valid → Mark Present.
5. Otherwise → Mark Absent.

Technical Details

• Storage: Student face images stored in a folder, linked via JSON-based storage.
• Backend & Frontend: Built using TypeScript.
• Persistence: Uses cookies or similar storage to retain attendance records after logout.

Notes

• Ensure no duplicate email IDs in the database.
• Variable names and logic should be simple and easy to follow.
• Only the most recent previous session should persist in the teacher’s dashboard.

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Future Improvements

• Improve UI/UX design.
• Implement automated email notifications for attendance reports.
• Enhance face recognition accuracy with advanced models.
• Add multi-class session support for teachers managing multiple batches.
• Improve GPS accuracy by refining location validation methods, reducing errors in student positioning.