Forensic sketch generation using Gen-AI

Forensic sketch generation plays a crucial role in criminal investigations where no photographic evidence is available. Traditional sketching methods rely heavily on skilled artists and subjective interpretations of eyewitness descriptions, which often leads to inconsistencies and delays. This project proposes an automated system that leverages Generative AI, specifically diffusion-based models, to generate realistic forensic sketches from textual descriptions. The system utilizes Stable Diffusion XL for high-quality image generation and integrates biometric and semantic feature extraction using InsightFace and BiSeNet. A hybrid matching mechanism using FAISS is employed to compare generated sketches with a mugshot database, providing ranked suspect identification. The proposed framework improves accuracy, scalability, and efficiency by combining text-to-image generation with multimodal face matching, making it a practical solution for modern forensic applications.