abhiwalia15 / Facial-Expression-Recognition

• First we recognize the emotion of the person using Opencv and Keras by training our model on Data provided from Kaggle, program is trained for 30 epochs and we have got an accuracy of 71%. • After detecting the emotion out of 7 labels, we as user for his favourite artist and then recommend songs from Spotify using its API and movies from IMDB depending upon its mood.

-Facial-Expression-Recognition-Using-Opencv-and-KerasKaggle-Challenge-

Program is trained for 30 epochs And i have got a accuracy of 94% accuracy.

Dependencies: pip install numpy pip install pandas pip install tensorflow pip install keras pip install opencv-python

This is a fun and learning project.

STEPS INVOLVED:

PART1*********

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#***WE ARE IDENTIFYING emotions

OF A PERSON IN REAL TIME

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PART2*****************

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ASKING FROM USER WHO IS YOUR FAV. ARTIST AND THEN

FETCHING THAT PARTICULAR ARTIST TOP TRANKS AND

REQUIRED INFO. FROM THE SPOTIFY API

PART3*****************

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##############ACCORDING TO USER'S FAV. ARTIST #######3AND HIS MOOD RECOMMENDING HIM HIS FAVOURITE ARTIST #########SONGS ACCORDING TO MOODS

PART4*****************

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************************************Python3 code for movie

***********************************recommendation based on

#****************************************** emotion