Gemini

AI Comment Moderation: Zero-Cost Automatic Content Filtering with Gemini 2.0 Flash

A blog system integrates Google Gemini 2.0 Flash (permanently free) to achieve AI-powered automatic comment moderation. Covers a three-tier review mechanism, asynchronous BullMQ queue processing, automatic reply prompt design, and non-blocking architecture design points.

Next.js Blog Bilingual System: Zero-Intrusion Automatic Translation Practice Based on Gemini AI

Gemini AI Production-Grade Integration: Four-Layer Circuit Breaker Degradation and Triple Quota Control

An in-depth analysis of the production-grade encapsulation of @google-cloud/vertexai (Gemini 2.5 Flash) in a NestJS project, covering core implementations such as a four-layer service level degradation system, triple quota control, circuit breaker pattern, and exponential backoff retry.

KYC Dual Cloud Provider: AWS Rekognition + Google AI Studio Gemini Identity Verification

JoyMini's KYC identity verification system adopts a dual cloud provider architecture with AWS Rekognition (face comparison) and Google AI Studio Gemini (OCR document recognition), covering the complete process of liveness detection, document recognition, and risk scoring.

AI Multi-Provider Abstraction Layer: Unified Access and Automatic Failover for Gemini + Groq + DeepSeek

The JoyMini API's AI service has evolved from a single Gemini Provider to a multi-Provider abstraction architecture, supporting unified access, automatic failover, Provider-level key rotation, and Admin UI visual configuration for three AI providers: Gemini, Groq, and DeepSeek.

AI Service Migration: Vertex AI to Google AI Studio — Cost Control and Multi-Key Rotation

JoyMini API migrates AI services from Vertex AI (pay-as-you-go) to Google AI Studio (free tier), covering the complete migration story including multi-key rotation, circuit breaker degradation, rate limiting, and cost comparison.

AI-Driven Translation Engine: Google AI Studio Gemini Multi-Layer Elastic Architecture

JoyMini API's AI translation engine is built on Google AI Studio Gemini, encompassing multi-layer elastic patterns such as rate limiting, service level degradation, circuit breaker, exponential backoff retry, and special 429 handling, supporting batch translation, comment moderation, and auto-reply scenarios.