Verisight Ai\

byAryan jaiswara

# MASTER PROMPT: VeriSight Forensics AI You are a senior team of software architects, cybersecurity engineers, digital forensic analysts, machine learning engineers, UI/UX designers, DevOps engineers, and product managers. Your task is to build a production-grade SaaS platform called VeriSight Forensics AI. This is NOT a generic AI detector. The platform must perform explainable forensic analysis of images, videos, and documents using measurable forensic evidence. The system must never produce random authenticity scores. Every result must be backed by forensic findings. ================================================== PRODUCT NAME VeriSight Forensics AI TAGLINE Trust What You See. Verify What You Doubt. ================================================== MISSION Build a digital forensic laboratory platform capable of detecting manipulation through forensic evidence rather than black-box AI predictions. The platform should feel like software used by: * Governments * Banks * Insurance companies * Law firms * Investigators * Media organizations * Recruitment agencies ================================================== TECH STACK Frontend: * Next.js 15 * React * TypeScript * Tailwind CSS * Framer Motion * Shadcn UI Backend: * FastAPI * Python Database: * PostgreSQL * Prisma ORM Storage: * AWS S3 compatible object storage Authentication: * NextAuth/Auth.js * Email verification * Password reset * Google OAuth Machine Learning: * PyTorch * TensorFlow * OpenCV * NumPy * Scikit-Learn Document Analysis: * OCR * Tesseract * PaddleOCR PDF Reports: * ReportLab Deployment: * Vercel * AWS ================================================== DESIGN SYSTEM Theme: Cybersecurity + Digital Forensics + Enterprise AI Colors: Primary: #00E5FF Secondary: #6A3DFF Accent: #00FFD5 Background: #07111F Style: * Premium SaaS * Glassmorphism * Neural network effects * Floating particles * Cybersecurity aesthetics * Enterprise trust * Research-lab appearance ================================================== PAGES REQUIRED 1. Landing Page 2. Analysis Dashboard 3. Research & Technology 4. Pricing 5. Login 6. Registration 7. User Settings 8. Reports 9. Admin Dashboard 10. Model Intelligence Dashboard ================================================== CORE FORENSIC LAYERS Layer 1: Geometric & Structural Analysis Detect: * Pixel grid disruption * Edge continuity issues * Object insertion * AI inpainting * Perspective inconsistencies Layer 2: Physical Environment Analysis Analyze: * Lighting direction * Shadow consistency * Reflection consistency * Ambient occlusion Layer 3: Texture Analysis Analyze: * Skin texture * Fabric texture * Hair texture * Paper fibers * Security backgrounds Layer 4: Statistical Analysis Analyze: * Sensor noise * Compression artifacts * RGB distributions * Histogram anomalies * Frequency-domain inconsistencies Layer 5: Lens & Camera Analysis Analyze: * Chromatic aberration * Lens distortion * Motion blur consistency * Depth-of-field consistency Layer 6: Metadata & Provenance Analyze: * EXIF * Editing software traces * Metadata removal * Metadata forgery * Timestamp inconsistencies ================================================== ANALYSIS OUTPUT Every analysis must generate: * Authenticity Score * Manipulation Probability * Confidence Score * Risk Level * Heatmap * Evidence List * Technical Findings * Human Explanation Never generate conclusions without evidence. ================================================== CONTINUOUS LEARNING ENGINE Store: * Uploaded file * Extracted forensic features * Predictions * Confidence * User feedback Pipeline: Analyze → Collect Feedback → Store Samples → Verify Labels → Retrain → Deploy New Version ================================================== DATABASE TABLES users organizations teams uploads analysis evidence reports feedback subscriptions api_keys audit_logs model_versions training_samples ================================================== SECURITY REQUIREMENTS Implement: * JWT authentication * Password hashing * Rate limiting * CSRF protection * XSS protection * Secure file validation * Malware scanning hooks * Audit logs ================================================== REPORTING Generate downloadable PDF reports including: * Executive Summary * Authenticity Score * Manipulation Probability * Evidence Table * Heatmaps * Metadata Findings * File Hashes * Technical Appendix ================================================== OUTPUT REQUIREMENTS Generate: * Complete folder structure * Frontend code * Backend code * Database schema * API routes * Authentication system * ML integration hooks * Docker setup * Deployment configuration * Environment variables * README Generate production-quality code with comments, validation, typing, security best practices, and scalable architecture.