Handwritten Letter Classifier with Flask API

Built full stack OCR system using EMNIST dataset

Achieved 94.7 percent accuracy on 26 class letter classification

Used Random Forest on HOG features outperforming Decision Tree by 12 percent

Built and containerized Flask REST API serving joblib model

Enabled real time predictions through web interface