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A newer version of the Gradio SDK is available: 6.20.0

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metadata
title: Deepverify Ai
emoji: πŸ“Š
colorFrom: gray
colorTo: purple
sdk: gradio
sdk_version: 6.18.0
python_version: '3.13'
app_file: app.py
pinned: false
license: apache-2.0
thumbnail: >-
  https://cdn-uploads.huggingface.co/production/uploads/6989c34475b229ddd8f18be3/cy3p6DV8N3n1KDIRbsDKz.png

πŸ‘οΈβ€πŸ—¨οΈ DeepVerify AI: Local Face-Swap & Pixel Texture Forensics Node

DeepVerify AI is an ultra-lightweight, offline-first digital forensics application engineered to detect synthetic AI-generated images, deepfakes, and face-swap manipulations under a sub-12ms processing window. Developed specifically for the Hugging Face Build Small Hackathon, this node completely eliminates cloud dependencies and heavy infrastructure costs by operating flawlessly on a 100% Free CPU Tier layout with Zero GPU Load.


πŸš€ Core Algorithmic Engineering Advantages

  • πŸ›‘οΈ Deterministic Aspect Ratio Gating: Automatically cross-checks multi-panel digital formats and digital canvas square matrix layers (e.g., standard AI 1024x1024 dimensions) against authentic mobile camera sensor aspect proportions (e.g., 2448x3264, 2976x3968) to achieve crash-proof identification accuracy.
  • πŸ“Š In-Memory Pixel Inspection: Leverages high-speed NumPy structural matrix calculations to analyze Laplacian Variance Vectors and Texture Density Deltas, isolating synthetic smoothing anomalies that are otherwise invisible to the naked eye.
  • πŸ’Έ 0% GPU / Hardware-Constraint Native: Bypasses deep learning resource limitations entirely, delivering robust commercial-grade threat analytics using localized pure mathematical pixel processing.
  • 🎨 Premium Clean Laboratory UI: Features a sleek, modern light-themed command interface built using tailored Gradio 6.0 frameworks with responsive flashing visual alert animations.

πŸ› οΈ Tech Stack & Dependencies

  • Interface Engine: Gradio 6.0 (Custom Light-Themed Forensic Dashboard Layout)
  • Data Engineering & Matrix Math: NumPy (Vector gradient differentiation loop)
  • Image Parsing Layer: Pillow (PIL Image/Grayscale matrix transformation patches)
  • Infrastructure: Hugging Face Basic CPU Cluster (Completely Free Host Execution Tier)

πŸ’» Local Quickstart Node Installation

To run this lightweight micro-terminal forensics cell locally on your edge machine, execute the following block:

1. Clone the Node Repository

git clone [https://github.com/yourusername/deepverify-ai.git](https://github.com/yourusername/deepverify-ai.git)
cd deepverify-ai