Trend Image Generator on Multi-Agent Architecture

A full-cycle image generation automation system — from market analysis to finished content with metadata. Seven specialized agents work sequentially: DailyFocusAgent analyzes current events through the Perplexity API, TrendAgent identifies commercial gaps in a three-stage research process, and PhotoAgent generates options on Nano Banana Pro with AI recommendations for styles (safe/risky) and formats (square/landscape/portrait).

The key advantage is automatic QA through VisionAnalysisAgent: each image is evaluated according to 10 criteria (composition, lighting, artifacts, commercial viability), and if the score is low, a correction loop is launched with regeneration based on specific feedback. The result is top-quality images at a total cost of all processes less than one premium generation.

QualityAgent checks technical parameters, UploadAgent prepares titles/keywords/categories, AnalyticsAgent logs costs and attempts in JSON. GUI on Tkinter for manual control and dashboard. Suitable for any type of image — from commercial photography to illustrations and digital art.

The result: autonomous generation of commercially viable content with built-in quality control and complete analytics.