How I Built a Visioryx Forensic Engine with FastAPI and BLIP 🛡️

Most AI image captioners just tell you what is in the picture. I wanted to build something deeper. I built Visioryx to bridge the gap between Neural Scene Intelligence and Digital Hardware Forensics. Key Engineering Wins: Multimodal Analysis: Integrated the Salesforce/blip-image-captioning-base model to transform pixels into descriptive natural language. Metadata Recovery: Engineered a Python-based forensic layer using PIL to extract hidden EXIF headers (Camera Model, ISO, Aperture). The "Scrubbed Data" Problem: One of my biggest challenges was handling images from platforms like Unsplash or Facebook that strip metadata. I implemented a fallback logic that identifies "Data Stripping" as a forensic state rather than a system failure. Full-Stack Utility: Designed a custom Glassmorphic UI and an automated PDF report generator for professional hand-offs. The Stack: Backend: FastAPI / Uvicorn AI Logic: PyTorch / Transformers Frontend: Tailwind CSS Live Demo: https://huggingface.co/spaces/yo