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digital-image-processing

Digital image processing is the use of algorithms to make computers analyze the content of digital images.

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The system should utilize state-of-the-art facial recognition algorithms to accurately identify individuals based on their unique facial features. Advanced machine learning models should enable the system to adapt to diverse scenarios, including varying lighting conditions, facial expressions, poses, and occlusions, ensuring reliable and precisely.

  • Updated May 9, 2024
  • HTML

This repository showcases a virtual tour of a Sacred Heart University classroom using Matterport technology. It includes an interactive 3D model embedded in a single HTML page, demonstrating responsive web design, smooth navigation, and a professional layout to provide an immersive user experience.

  • Updated May 28, 2024
  • HTML
RetroSpectra

RetroSpectra is a real-time facial emotion detection application. It uses Convolutional Neural Network (CNN) to identify human emotions from live video feed. The application leverages a pre-trained model to accurately detect and classify emotions, providing an interactive and engaging user experience.

  • Updated May 26, 2024
  • HTML
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