Machine Learning
Machine learning and practical AI can automate repetitive tasks, improve decision-making processes, and enhance user experiences. Businesses need to harness these tools to gain insights from vast amounts of data, optimize operations, and stay competitive.
Mobile and Cloud based models
Mobile-based AI models enhance user experience with real-time responses, improved privacy, and reduced latency by processing data locally. They also offer offline functionality and cost efficiency by minimizing reliance on cloud services.
Natural Language Processing
NLP can understand, interpret, and generate human language, enabling tasks such as sentiment analysis, language translation, and chatbot interactions. It allows machines to process and analyze vast amounts of text data, facilitating improved communication and decision-making.
Image Analysis and Vision
Implement pre-trained och custom models to detect objects, texts, emotions in images or video.
Text to Speech to Text
Text-to-speech generates natural-sounding speech from written text in multiple languages and accents, making it useful for virtual assistants, audiobooks, and accessibility tools. Speech recognition can transcribe, translate, and understand hundreds of spoken languages.