tbantikyan/armenian-dish-classification
A web application for classifying images of Armenian dishes using a machine learning model. The project includes a React-based frontend and a trained model achieving ~98% accuracy on a dataset of nearly 1000 images across 9 dish classes.
A machine learning model for classifying Armenian letters (both uppercase and lowercase) using a Convolutional Neural...
A machine learning project for classifying handwritten Armenian letters using the Mashtots Dataset v2 from Kaggle. It...
AzgIntel is an AI-powered NLP pipeline for Armenian text classification using a BERT-based multilingual model. It pro...
A CNN-based project for recognizing Armenian alphabet letters from grayscale images using the Mashtots Dataset v2. Th...
A BiLSTM-based text classification system for mapping Armenian/Latin retail product names to ADG codes (brand categor...
A machine learning project for recognizing handwritten Armenian alphabet characters using the Mashtots Dataset v2. It...