cosmic-deepfake

Introduction

The "cosmic-deepfake" project aims to develop a sophisticated SaaS platform, VeriSight Forensics AI, designed for the forensic analysis of images, videos, and documents. This platform will provide explainable forensic analysis using measurable forensic evidence, ensuring that every result is backed by concrete findings rather than random authenticity scores. The platform is intended for use by governments, banks, insurance companies, law firms, investigators, media organizations, and recruitment agencies.

System Overview

VeriSight Forensics AI is a production-grade SaaS platform that performs detailed forensic analysis of digital media. It leverages advanced machine learning models and digital forensic techniques to detect manipulations and provide comprehensive reports. The system is built on a robust tech stack including Next.js, FastAPI, and PostgreSQL, with a design theme focused on cybersecurity and digital forensics.

Functional Requirements

• As a Government User, I should be able to upload images, videos, and documents for forensic analysis.
• As a Bank User, I should be able to view detailed forensic reports with authenticity scores and manipulation probabilities.
• As an Insurance Company User, I should be able to access a dashboard that displays analysis results and risk levels.
• As a Law Firm User, I should be able to download PDF reports containing executive summaries and technical findings.
• As an Investigator, I should be able to examine heatmaps and evidence lists generated by the analysis.
• As a Media Organization User, I should be able to verify the provenance of media files through metadata analysis.
• As a Recruitment Agency User, I should be able to receive alerts on potential manipulations detected in documents.
• As an Admin, I should be able to manage users, organizations, and teams within the platform.
• As a User, I should be able to provide feedback on analysis results to improve the continuous learning engine.
• As a Developer, I should be able to access API routes for integrating forensic analysis into other applications.

User Personas

• Government User: Utilizes the platform for verifying the authenticity of media in investigations.
• Bank User: Uses the platform to ensure the integrity of documents related to financial transactions.
• Insurance Company User: Relies on the platform to detect fraudulent claims through media analysis.
• Law Firm User: Engages with the platform to gather evidence for legal cases.
• Investigator: Conducts detailed forensic analysis to support criminal investigations.
• Media Organization User: Verifies the authenticity of media content before publication.
• Recruitment Agency User: Ensures the credibility of documents submitted by candidates.
• Admin: Manages platform settings, users, and organizational structures.
• Developer: Integrates platform capabilities into other systems and applications.

Core User Flows

• Government User uploads media -> Analysis is performed -> Forensic report is generated -> User reviews report.
• Bank User accesses dashboard -> Views analysis results -> Downloads detailed report.
• Insurance Company User uploads claim documents -> Receives manipulation alerts -> Reviews evidence list.
• Law Firm User downloads PDF report -> Reviews executive summary -> Uses findings in legal proceedings.
• Investigator examines heatmap -> Cross-references evidence list -> Provides feedback for continuous learning.
• Media Organization User uploads media -> Metadata analysis is performed -> Verifies provenance.
• Recruitment Agency User receives document -> Analysis detects manipulation -> Alerts are generated.

Visuals Colors and Theme

• primary: #00E5FF
• primary_light: #66F0FF
• secondary: #6A3DFF
• accent: #00FFD5
• highlight: #FF5733
• bg: #07111F
• surface: rgba(7, 17, 31, 0.8)
• text: #FFFFFF
• text_muted: #B0B0B0
• border: rgba(255, 255, 255, 0.2)

Signature Design Concept

The homepage of VeriSight Forensics AI will feature an interactive galaxy map where each star represents a core feature or section of the platform. Users can click on a star to open a detailed view of that feature, drag to rotate the galaxy, and hover to highlight connections between related features. This concept will be brought to life using @react-three/fiber and @react-three/drei for 3D rendering, creating an immersive and engaging user experience that reflects the platform's cutting-edge capabilities in digital forensics.

Interaction Model & Motion Direction

The landing page will employ a "parallax" interaction model, with layered depth effects achieved through scroll-triggered animations. Decorative elements such as floating particles and neural network effects will move at different speeds to create a dynamic and visually rich first impression. Internal pages, such as dashboards and settings, will adopt a "static" interaction model to prioritize clarity and ease of use.

Non-Functional Requirements

• The system must ensure high availability and scalability to handle large volumes of media uploads and analysis.
• Security measures must include JWT authentication, password hashing, rate limiting, CSRF protection, and XSS protection.
• The platform must support seamless integration with third-party applications via API routes.
• The user interface must be intuitive and accessible, adhering to modern design standards.

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

Assumptions and Constraints

• The platform will be primarily used by enterprise clients with a focus on security and reliability.
• The system must comply with data protection regulations applicable in the regions where it is deployed.
• The continuous learning engine will require regular updates and maintenance to incorporate user feedback and improve accuracy.

Glossary

• Forensic Analysis: The process of examining digital media to detect manipulations and verify authenticity.
• EXIF: Exchangeable Image File Format, a standard for storing metadata in images.
• OCR: Optical Character Recognition, a technology used to convert different types of documents into editable and searchable data.
• JWT: JSON Web Token, a compact, URL-safe means of representing claims to be transferred between two parties.