In this data science and machine learning project, we classify sports personalities. We restrict classification to only 5 people,

1. Maria Sharapova
2. Serena Williams
3. Virat Kohli
4. Roger Federer
5. Lionel Messi

Here is the folder structure,

• UI : This contains UI website code
• server: Python flask server
• model: Contains python notebook for model building
• google_image_scrapping: code to scrap google for images
• images_dataset: Dataset used for our model training

Technologies used in this project,

1. Python 3.8.10
2. Numpy and OpenCV for data cleaning
3. Matplotlib & Seaborn for data visualization
4. Sklearn for model building
5. Jupyter notebook, visual studio code and pycharm as IDE
6. Python flask for http server
7. HTML/CSS/JavaScript for UI

1. Clone repository

   git clone https://github.com/namantam1/face-regonition-ml-opencv
   cd face-regonition-ml-opencv

NOTE : You can create a virtualenv before running this command. Please don't forget to activate it if do.

2. Install dependencies

   pip install -r requirements.txt # for server
   
   pip install -r requirements.dev.txt # for dev pupose

3. Run server

   cd server
   python app.py