Politician-Face-Classifier

Web Scraping

• Collected images from google through web-scraping using Selenium with ChromeDriver

Data Cleaning

• Performed data cleaning through face detection using OpenCV pre-trained feature-based Haar cascade classifiers to discard images from the dataset without face and two eyes visible

Feature engineering

• Performed feature engineering through extraction by wavelet transformation of images using PyWavelets and then vertically stacking raw and wavelet transformed images

Model Building

trained models such as Inception-ResNet, Logistic Regression, SVM(Support vector machine), and Ensembling bagging Random Forest

Inception-ResNet(Inception-v4)

• Implementation of Inception-Residual Network v1 Inception Network v4 Paper in Keras

User interface

• Used HTML,CSS and JavaScript,

Productionization

• Deployed model to production using Flask

Technologies

• Python
• Numpy and OpenCV for data cleaning
• Matplotlib & Seaborn for data visualization
• Sklearn for model building
• Python flask for HTTP server
• HTML/CSS/Javascript for UI

©SyedMuhammadHamza Licensed under MIT License