Skip to content

Latest commit

 

History

History
54 lines (35 loc) · 1.68 KB

README.md

File metadata and controls

54 lines (35 loc) · 1.68 KB

-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*********



#***WE ARE IDENTIFYING emotions

OF A PERSON IN REAL TIME

*********************************************

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

*****************************************************************

**************************************************************

ASKING FROM USER WHO IS YOUR FAV. ARTIST AND THEN

FETCHING THAT PARTICULAR ARTIST TOP TRANKS AND

REQUIRED INFO. FROM THE SPOTIFY API

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

*****************************************************************

**************************************************************

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

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

*****************************************************************

**************************************************************

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

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

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