МЕТОДИ МАШИННОГО НАВЧАННЯ ДЛЯ ОБРОБКИ ЗАПИТІВ У ЦЕНТРАХ ГУМАНІТАРНОЇ ДОПОМОГИ

The subject of research in the paper is diverse applications of machine learning methods across various domains. Machine learning, a subset of artificial intelligence, enables computers to learn from data and improve their algorithms without explicit programming. Industries leverage machine learning for cost predictions, fault detection, and process optimization. Additionally, machine learning plays a crucial role in security, aiding in surveillance and cybersecurity efforts. It is proposed to use the neural network tool for gathering and classifying requests in humanitarian aid centers.