tbantikyan/armenian-dish-classification
A web application that uses machine learning to classify images of Armenian dishes into nine categories. The project includes a custom-trained model with ~98% test accuracy and a React-based frontend deployed to a live website.
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 demonstration repository for a pre-trained Armenian text embedding model, showcasing applications in text classific...
A Telegram bot that classifies Armenian news articles into four categories (Political, Social, Educational, Health) u...