The AI Attendance System automates employee check-ins using facial recognition. It integrates a chatbot for user support and provides administrators with analytics for monitoring system performance.
Key Features
Facial Recognition: Biometric check-ins powered by TensorFlow with high accuracy.
Chatbot Assistant: NLP-driven conversational support for smooth user interaction.
Augmented Reality (AR): 3D model visualization of AI features to enhance interactivity.
Technologies Used
AI/ML Frameworks: For face detection and recognition.
Database & Logging: For data tracking and analytics.
TensorFlow: For AI-driven facial recognition.
Natural Language Processing (NLP): Chatbot frameworks for intelligent communication.
AR Frameworks: Augmented reality rendering for interactive 3D models.
Challenges and Learnings
Developing a reliable recognition model required handling different lighting conditions and user diversity. Integrating AI with existing IT infrastructure needed strong focus on data security.
Outcome
The solution reduced manual errors, streamlined employee check-ins, and demonstrated the value of AI-driven automation in workplace management.
