mihreteab-H/tigrigna-handwritten-character-recognition

AI-based Tigrigna handwritten character recognition using CNN and TensorFlow # AI-Based Tigrigna Handwritten Character Recognition ## Overview This project implements a Convolutional Neural Network (CNN) to recognize Tigrigna handwritten characters. ## Features - Image preprocessing (grayscale conversion, resizing, normalization) - Data augmentation - CNN model training and evaluation - TensorFlow implementation ## Tech Stack - Python - TensorFlow / Keras - NumPy - OpenCV - Google Colab ## Results Achieved high validation accuracy on the dataset for character classification. ## Future Improvements - Deploy model using FastAPI - Docker containerization - Build web interface for predictions ## Model Performance Validation Accuracy: 92%