Facial_recognition

Project implemented in Python and Flask that allows users to identify which celebrities they resemble the most by using Microsoft Cognitive Service API to analyze a photo

This readme.md provides concise information about the project. To have a better idea of the overall design and implementation, please kindly refer to documentation.txt , ```design.txt``

Getting Started

Prerequisites

Project uses many external resources, as supplements and inspiration, notably:

• Microsoft Cognitive Service API
• Dropbox API
• webcam.js
• Flask
• Yale/Harvard CS50's HTML design

To run the program, you need to register to have a Microsoft Cognitive Service API key and Dropbox API key.

Then, export the key to your environment

export Microsoft_key=your_key

export Dropbox_key=your_key

Running:

There are several steps you have to do before you can actually test the program. They are as follows:

1. Export your keys
2. Configure dropbox
3. Build your database of faces in SQL
4. Up and running

Please refer to documentation.txt , ```design.txt`` for more details

• The result will look more or less like this:

• I have also made a short Youtube video to illustrate what this webapp can do

Authors

• Tuan Nguyen Doan - Initial work - tuangauss

This is a self-learning project and I hope to learn from the expertise of the community. Please reach out to me if you have any suggestion or ideas.

Acknowledgments

This is a self-learning project and I am proud to present the following sources as my reference (and inspiration):

• Microsoft Cognitive Service
• CS50 resources: for HTML template, advise and suggestion
• Dropbox API
• Webcam.js