Sketch Recognition and Analysis with Gemini Multimodal AI

Hand-drawn sketches are highly subjective and challenging for traditional computer vision, but modern multimodal AI models make interpreting them remarkably simple. This course guides you through the process of sending sketches as prompts to Gemini and evaluating them programmatically. You will transition from understanding basic image-to-text concepts to designing robust prompts that can analyze, score, and categorize sketches—perfect for building interactive gaming bots or educational tools. What you'll learn: Understand the foundational concepts of multimodal AI and image-to-text processing; Configure Gemini prompts to accept and interpret hand-drawn images and sketches; Design structured evaluation criteria to analyze sketch accuracy for game-like scenarios; Apply modern multimodal prompting patterns to extract structured JSON data from visual inputs; Manage noisy or highly abstract drawings with robust fallback prompt engineering; Practice building the logic for a sketch-evaluation system through step-by-step written exercises. The course begins with core definitions of multimodal AI and image tokenization before moving into practical prompt design, structured data extraction, and sketch-evaluation workflows. Designed for beginners interested in AI, prompt engineering, or creative applications, this course requires no prior experience with computer vision. Start learning how to bridge the gap between human sketches and AI understanding today.