Using AI tools like ChatGPT to control IoT lights
Blog post from Postman
During a recent livestream, the host collaborated with Jan Schenk and Saswat Das from Postman to showcase the integration of AI tools for controlling IoT lights. They utilized Postman Flows, a visual programming language, to automate interactions by combining Postman Collection requests. The project involved using OpenAI's ChatGPT API to generate responses, which were then analyzed using Microsoft's Azure Cognitive Service for sentiment analysis. The sentiment scores guided the control of Jan's custom-built IoT light panel, which was capable of displaying programmed "reaction" images based on the sentiment results. This involved sending sequential requests to the light panel for each sentence's sentiment and an overall sentiment score. The process was demonstrated live, highlighting real-time debugging and collaboration using Postman Collections and Flows. The session emphasized the potential of combining AI and IoT technologies to create interactive and responsive systems, while also engaging a global audience through live demonstrations.
No tracked trend matches for this post yet.
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.