https://github.com/dakohhh/politicians-face-recognition

A machine learning model where we classify famous Nigerian politicians. We restrict classification to only 4 people
https://github.com/dakohhh/politicians-face-recognition

gridsearchcv jupyter-notebook machine-learning opencv python pywavelets scikit-learn

Last synced: 7 months ago
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A machine learning model where we classify famous Nigerian politicians. We restrict classification to only 4 people

• Host: GitHub
• URL: https://github.com/dakohhh/politicians-face-recognition
• Owner: dakohhh
• Created: 2023-06-14T07:31:48.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2023-06-26T08:05:30.000Z (over 2 years ago)
• Last Synced: 2025-02-19T12:11:47.262Z (8 months ago)
• Topics: gridsearchcv, jupyter-notebook, machine-learning, opencv, python, pywavelets, scikit-learn
• Language: Jupyter Notebook
• Homepage: https://politician-image-classifier.netlify.app
• Size: 5.56 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          


# POLITICIAN IMAGE CLASSIFIER 

A machine learning model where we classify famous Nigerian politicians. Model was Built with python's scikit-learn library and fined tuned with Grid Search CV for hyperparameter tuning.

## POLITICIANS

* Bola Tinubu

* MUhammadu Buhari

* Atiku

* Peter OBi

[![politicians](https://res.cloudinary.com/do1iufmkf/image/upload/v1687764729/pkimms3fnouq5mittqxe.png)](https://politician-image-classifier.netlify.app/)

#

[![politicians](https://res.cloudinary.com/do1iufmkf/image/upload/v1687764729/aimlqswl7lftk31lzdv7.png)](https://politician-image-classifier.netlify.app/)

## 🛠 Tech Stack

A list of technologies used within the project:

* [Python](https://www.python.org/) 

* [Jupyter Notebook](https://jupyter.org/)

* [Open CV](https://opencv.org/)

* [scikit-learn](https://scikit-learn.org/)

* [Flask](https://flask.palletsprojects.com/en/2.3.x/)

* [PyWavalets](https://opencv.org/)

* [Bootstrap](https://getbootstrap.com/docs/5.3/getting-started/introduction/)

## Featuers

* Image Processing and haarcarscades with opencv

* Image Transform and Feature Extraction with PyWavalets

* Model creation with scikit-learn, Logistic Regression performed best.

* Hyperparameter Tuning With Grid Search CV 

* Saved Model with Joblib

* Flask Backend Integration

* Bootstrap, HTML and Javascript for Frontend

## Installation and Usage

```bash

python3 -m venv env

```

```bash

pip install requiremenst.txt

```

```bash

jupyter notebook

```

```bash

flask run

```

    

## 🔗 Links

[![portfolio](https://img.shields.io/badge/my_portfolio-000?style=for-the-badge&logo=ko-fi&logoColor=white)](https://wisdomdakoh.netlify.app/)

[![linkedin](https://img.shields.io/badge/linkedin-0A66C2?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/wisdomdakoh/)

[![instagram](https://img.shields.io/badge/instagrm-f21d6b?style=for-the-badge&logo=instagram&logoColor=white)](https://www.instagram.com/propa.wd/)