Sports-Celebrity-Classifier

In this data science and machine learning project, I build a model to classify sports celebrity. I restrict classification to only 5 people

While working on this project I followed these steps:

1. Data collection using "fatkun" chrome extention
1. Use Opencv library for face and eyes detection
1. Data Cleaning using a technique of opencv called haar cascades for face and eyes detection
1. Extracting meaning features using wavelet transforms
1. Model building using defferent ML algorythmes of Sklearn librairy (SVM, logistic regression, random forest )
1. Model fine tunning using gridsearchcv
1. Export model to a file using joblib librairy
1. Write python flask server that can server http requests generated by UI
1. Build UI using HTML,CSS,javascript and JQuery used to make http calls to python flask backend

Here is the folder structure :

Technologies used in this project:

#Python #Numpy #OpenCV #Matplotlib #Seaborn #Sklearn #Jupyter_notebook #flask #HTML/CSS/Javascript

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
.ipynb_checkpoints		.ipynb_checkpoints
flask_server		flask_server
model		model
webSite		webSite
README.md		README.md
test.mp4		test.mp4

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