golden-foot-players-classifier-deployed-flask

A golden foot players (2003-2021) machine learning classifier deployed on a Flask server and consumed by a frontend website!

Demo

Clone project

git clone https://github.com/OmarElbachyr/golden-foot-players-classifier-deployed-flask

Install packages

pip install -r requirements.txt

Dataset link

[pip install -r requirements.txt](https://www.kaggle.com/datasets/balabaskar/golden-foot-football-players-image-dataset)

Folders structure

• frontend : contains the UI files (html, css and Js)
• model: contains the SVM model jupyter notebook
• scripts: contains the model.pickle file and the files needed to make a new prediction
• server.py: the Flask server

Technologies used in this project

1. Python
2. Numpy and OpenCV for data cleaning
3. Sklearn for model building
4. Jupyter notebook, vscode and pycharm IDE
5. Python flask for http server
6. HTML/CSS/Javascript for the frontend