Updating README

Author: edavalosanaya

README.md

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 # WebEyeTrack
 Created by <a href="https://edavalosanaya.github.io" target="_blank">Eduardo Davalos</a>, <a href="https://scholar.google.com/citations?user=_E0SGAkAAAAJ&hl=en" target="_blank">Yike Zhang</a>, <a href="https://www.linkedin.com/in/yashvitha/" target="_blank">Yashvitha Thatigolta</a>, <a href="https://scholar.google.com/citations?user=GWvdYIoAAAAJ&hl=en&oi=ao" target="_blank">Namrata Srivastava</a>, <a href="" target="_blank">Jorge A. Salas</a>, <a href="https://www.linkedin.com/in/sara-mcfadden-93162a4/" target="_blank">Sara McFadden</a>, <a href="https://scholar.google.com/citations?user=0SHxelgAAAAJ&hl=en" target="_blank">Cho Sun-Joo</a>, <a href="https://scholar.google.com/citations?user=dZ8X7mMAAAAJ&hl=en" target="_blank">Amanda Goodwin</a>, and <a href="https://scholar.google.com/citations?user=-m5wrTkAAAAJ&hl=en" target="_blank">Guatam Biswas</a> from <a href="https://wp0.vanderbilt.edu/oele/" target="_blank">Vanderbilt University</a>
 
-### [Project](https://) | [Paper](https://) | [Demo](https://)
+### [Project](https://redforestai.github.io/WebEyeTrack) | [Paper](https://) | [Demo](https://azure-olympie-5.tiiny.site)
 
 WebEyeTrack is a framework that uses a lightweight CNN-based neural network to predict the ``(x,y)`` gaze point on the screen. The framework provides both a Python and JavaScript/TypeScript (client-side) versions to support research/testing and deployment via TS/JS. It performs few-shot gaze estimation by collecting samples on-device to adapt the model to account for unseen persons.