Intelligent Poster Generation Engine Using AI-Based Image Rendering and Dynamic Text Overlay

Abstract

In recent years, the demand for high-quality marketing visuals has increased significantly
across digital platforms. Businesses, content creators, and marketing firms require
compelling poster designs that combine aesthetics, clarity, and brand consistency.
Traditional poster design, however, is time-consuming and requires expert-level graphic
design skills. To address these limitations, this project introduces an Intelligent Poster
Generation Engine capable of generating visually appealing posters using AI-driven
background creation, advanced image processing, and dynamic text overlay techniques.
The system leverages the Python Imaging Library (PIL) to create posters programmatically.
Rather than relying on pre-designed templates, the engine supports multiple background
generation styles, including gradient, radial, diagonal, dotted, and striped patterns. These
backgrounds are computed mathematically using color interpolation and pixel-level
rendering, ensuring unique and professional visuals. Furthermore, the system supports
loading pre-generated AI artwork (from models like Midjourney, DALL·E, or Stable
Diffusion) and seamlessly integrates them with overlay effects to enhance text visibility.
At the core of the system is its text overlay module, which handles headline, subheading,
and body text placement. The engine intelligently positions text, applies shadow effects,
adjusts opacity, and handles text wrapping based on available space. Customizable font
sizes, styles, and color schemes allow users to create posters suitable for advertisements,
social media campaigns, event promotions, or branding activities. The system also enables
the use of user-defined color palettes, ensuring brand consistency for corporate users