Resources
Here, we provide a brief summary of the available datasets, the chosen programming language, the best development environments for this project, and programming libraries
Programming Language & Libraries
Python
has been selected as the programming language due to the familiarity of most team members with this language and the vast resources available for this language
OpenCV
Library used for image processing in Python, used for facial recognition enabling filtering, edge detection, feature recognition, object tracking, etc.
TensorFlow
This library will allow us to build and train neural networks to detect patterns and reasoning used by humans.
Programming Environment & Tools
These are the programming environment and tools that allow the collaborative work among the team members
Jupiter Notebook
Google Collab tool
Visual Studio Code
LiveShare
Datasets Collection
The datasets to be used in this project are a primordial part. Consequently, a research was conducted on the available datasets and the following collections were found: