{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/2b0deed3b63d441ab2fd5199d3a59eb1\" frameborder=\"0\" width=\"1728\" height=\"1296\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1296,"width":1728,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1296,"thumbnail_width":1728,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/2b0deed3b63d441ab2fd5199d3a59eb1-904b1deba609d9b8.gif","duration":289.1056,"title":"Building a Microservice for Google Gemini AI with NestJS","description":"In this video, I presented my project, a microservice for Google Gemini AI built with NestJS. This TCP microservice connects Gemini AI to perform tasks like text generation and image analysis, providing a flexible and scalable solution for our main application. I demonstrated how it works, including testing text generation and analyzing images for user income verification. The microservice keeps the AI logic separate, making our application cleaner and easier to manage. I encourage you to explore the code and consider how this microservice can enhance our system."}