Emoji Face Detection Using Machine Learning

README.md

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+Emoji using face emotion based machine learning in this the dataset link is https://drive.google.com/drive/folders/1uEwn0LvNhlI1ac423jCQV8vYccpTQtl5?usp=drive_link this will get all the 
+zip files and the data with images.
+This project will be implemented in two parts:
+-->Building an image classification model which can classify facial images with different expressions on them.
+-->Extracting the face from an image and then classifying the expression on it using the classifier.
+Workflow Diagram:
+![image](https://github.com/Prasannnnn/Machine-Learning-Projects/assets/122286297/eca1fdd8-b181-4baf-b054-928febdc0db0)
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+Modules Used
+Python libraries make it very easy for us to handle the data and perform typical and complex tasks with a single line of code.
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+Pandas – This library helps to load the data frame in a 2D array format and has multiple functions to perform analysis tasks in one go.
+Numpy – Numpy arrays are very fast and can perform large computations in a very short time.
+Matplotlib – This library is used to draw visualizations.
+Sklearn – This module contains multiple libraries having pre-implemented functions to perform tasks from data preprocessing to model development and evaluation.
+OpenCV – This is an open-source library mainly focused on image processing and handling.
+Tensorflow – This is an open-source library that is used for Machine Learning and Artificial intelligence and provides a range of functions to achieve complex functionalities with single lines of code.
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+ Input:
+ ![image](https://github.com/Prasannnnn/Machine-Learning-Projects/assets/122286297/5d59d0bd-2953-46eb-b51f-11dcd3dfc639) 
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+ Output of the image:
+ ![image](https://github.com/Prasannnnn/Machine-Learning-Projects/assets/122286297/ed50da49-f3a6-4586-b69d-918076adb0eb)