How does Swahili AI work?
- Natural Language Processing (NLP). NLP is a branch of AI that focuses on the interaction between computers and humans through natural language, allowing Swahili AI to comprehend and generate text in Swahili.
- Machine Learning. Machine learning algorithms are used to train models on vast datasets, enabling Swahili AI to learn patterns and improve its understanding of the language over time.
- Speech Recognition. This technique allows Swahili AI to convert spoken Swahili into text, facilitating voice interactions and applications in fields like customer service and accessibility.
- Sentiment Analysis. This method involves analyzing text to determine the sentiment behind it, helping businesses understand user opinions and emotions expressed in Swahili.