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AI Image Forensics Web Application
Project Overview
A professional-grade, multimodal web application designed to detect and analyze AI-generated visual content. By combining traditional image processing techniques with advanced Large Vision-Language Models (VLMs), the platform provides comprehensive, automated analyses of image authenticity, digital signatures, and physical integrity.
Core Technologies & Frameworks
Next.js (React)
Python, FastAPI
Google Gemini Vision API
Docker, Google Cloud Run
Key Features & Engineering Highlights
8-Stage Forensic Pipeline: Engineered a highly robust image analysis pipeline that sequentially executes metadata scanning, quadrant tiling, Error Level Analysis (ELA), and Canny Edge detection.
Multimodal AI Analysis: Integrated Google Gemini Vision as an automated "forensic analyst" to evaluate visual inputs for physical inconsistencies, blending errors, and AI generation artifacts.
Decoupled Microservices Architecture: Built a high-performance Next.js frontend paired with a highly scalable Python/FastAPI backend to efficiently process complex mathematical image transformations.
Cloud-Native Deployment: Established automated workflows for containerizing the application with Docker and deploying the backend services to Google Cloud Run for scalable compute.
Data Visualization UI: Developed an intuitive, user-friendly dashboard to clearly present complex forensic findings, edge maps, and AI confidence scores to end-users.
The network for creativity
Join 1.25M professional creatives like you
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Creatives on Contra have earned over $150M and we are just getting started
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