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Face Detection Engine made with Python for Training Machine Learning Model & Flask for making Web Application to represent the Data. It is made by using 750 web scraped images from Google of 6 different persons. It uses GridSearchCV() , StandardScaler() , Random Forest, K-Nearest Neighbour techniques to get the highest accuracy.

people-face-recognition.herokuapp.com/
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UtkarshPrajapati/Face-Recognition

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Face-Recognition

Face Detection Engine made with Python for Training Machine Learning Model & Flask for making Web Application to represent the Data.

It is made by using 750 web scraped images from Google of 6 different persons.

It uses GridSearchCV() , StandardScaler() , Random Forest, K-Nearest Neighbour techniques to get the highest accuracy.

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Website Link:- https://people-face-recognition.herokuapp.com/

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Face Detection Engine made with Python for Training Machine Learning Model & Flask for making Web Application to represent the Data. It is made by using 750 web scraped images from Google of 6 different persons. It uses GridSearchCV() , StandardScaler() , Random Forest, K-Nearest Neighbour techniques to get the highest accuracy.

people-face-recognition.herokuapp.com/

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