video1.0<iframe src="https://www.loom.com/embed/2b0deed3b63d441ab2fd5199d3a59eb1" frameborder="0" width="1728" height="1296" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12961728Loomhttps://www.loom.com12961728https://cdn.loom.com/sessions/thumbnails/2b0deed3b63d441ab2fd5199d3a59eb1-904b1deba609d9b8.gif289.1056In 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.