captured by the camera. 2. Sends the base64 encoded image to LLM over the Internet. 3. Receives the response and converts it to audio via a text-to-speech converter. 20
Reduced latency • Itʼs free! • Data privacy Cons • Performance Models with large parameters requires more storage and processing power. GPUs are preferred over CPUs) 29
monitoring (ideal for care homes and hospitals) • Monitoring the workers working in low visibility environments E.g Monitoring the vitals of fire fighters and assist them with their vision) • Personal assistant to the elderly • AI-assisted bodycam for rescue workers 33 What else we can do with this?
a practical and affordable solution to make their lives easier. Especially, increase their confidence in mobility and social inclusion. • Image recognition and classification is an already solved problem. But using Generative AI to describe images makes it more accessible, affordable and scalable. • Redpanda and its ecosystem can take individual devices to the next level by implementing a monitoring and assistive technology for the visually impaired people. 34
https://university.redpanda.com • Learn the fundamentals of data streaming and Redpanda • Install Redpanda and use the rpk CLI to configure it • Create producers and consumers in Java, Python and NodeJS • Sign up today for free! 35
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