How does Hausa AI work?
- Natural Language Processing (NLP). NLP techniques are used to analyze and understand the structure and meaning of the Hausa language, allowing for better communication with users.
- Machine Learning. Machine learning algorithms are trained on large datasets of Hausa text to improve the accuracy and relevance of AI responses.
- Speech Recognition. Speech recognition technology enables users to interact with the AI through spoken Hausa, converting audio input into text for interpretation.
- Sentiment Analysis. Sentiment analysis identifies and categorizes emotions expressed in Hausa text, aiding in understanding user sentiments and improving interactions.