This repository contains the code and resources for Nikolaos Mavrapidis thesis project in Ubiquitous Computing, showcased at the Museum of IT in NKUA. Click here to read the thesis paper.

Ubiquitous Computing, or Pervasive Computing, envisions a world where computing is seamlessly integrated into our daily lives. This project by NikosMav delves deep into the concepts, implementations, and future possibilities of this technology. Experience the culmination of this research at the Museum of IT in NKUA.

• Responsive & User-Friendly Design: The project boasts a design that's intuitive and adapts beautifully across devices, ensuring a seamless user experience irrespective of the screen size.

• Interactive Design Elements: Engage with the rich interactive design elements that make navigation and exploration a delight.

• Knowledge Quizzes & Polls: Test your understanding and provide your feedback through engaging quizzes and polls integrated into the platform.

• Scenarios & Charts: Dive deep into the realm of Ubiquitous Computing with well-crafted scenarios and illustrative charts that simplify complex data.

• Computer Vision Apps: Experience cutting-edge interactive applications like:

  • Face Recognition: Recognize and respond to user faces in real-time.
  • Hand Gestures: Navigate and interact using simple hand movements.
  • Pose Detection: Analyze and interpret human body positions with precision.

• Dynamic Content Customization: The platform is not just static. It learns and adapts, presenting customized content tailored to every individual user's preferences and interactions.

1. Clone this repository: git clone https://github.com/NikosMav/ubiquitous-computing.github.io.git

2. Navigate to the project directory: cd ubiquitous-computing.github.io

3. Start a local server

4. Visit http:https://localhost:3000 to see the project on your local machine.

Your input is valued! If you have suggestions or changes, please refer to our CONTRIBUTING file for guidelines.

This project uses the MIT License. For details, view the LICENSE file.

• NKUA for their unwavering support and for offering a space to showcase this innovative project.
• Thesis guide, Prof. Roussou Maria, whose insights and mentoring were invaluable.
• The entire Museum of IT for their hard work and collaboration.