VASTAV AI: Advanced Framework for Deepfake Detection and Media Authentication

vastav ai image

ekoahamdutivnasti

Technical White Paper
By Navneet Singh
ekoahamdutivnasti Technologies
🔗 https://ekoahamdutivnasti.com/vastav

Executive Summary

VASTAV AI, created by Navneet Singh under ekoahamdutivnasti Technologies, is a real-time AI-powered platform designed to detect deepfakes and manipulated media using cutting-edge transformer-based vision systems, GAN artifact detection, and multi-layer metadata forensics. Built for speed, accuracy, and forensic clarity, VASTAV provides tools for journalists, cybersecurity experts, law enforcement, and enterprises to verify the authenticity of photos and videos at scale.

1. Introduction

1.1 The Rise of Deepfakes

Deepfakes and generative media technologies have grown exponentially, threatening the integrity of truth in digital communications. With malicious actors now easily creating realistic fake videos, the need for robust deepfake detection systems is urgent.

1.2 Why VASTAV?

VASTAV AI is India’s indigenous deepfake detection framework, combining raw AI power with human-understandable forensics. Publicly recognized and already helping protect Indian digital spaces, VASTAV is built for high-accuracy detection, powered by cloud and edge AI, and hosted exclusively in India and the USA for data security.

2. System Architecture

2.1 Core Modules

  1. Metadata Validator
    Detects inconsistencies in EXIF, device signature, encoding timelines, and camera sources.
  2. Vision Transformer Engine
    Detects:
  • Face warping, unnatural shadows
  • Blinking irregularities
  • Skin tone mismatch
  • Lighting and edge discrepancies
  1. GAN Fingerprint Scanner
    Analyzes:
  • Diffusion noise residue
  • Fourier patterns
  • Compression mismatch
  • GAN artifact frequency anomalies
  1. Multi-Signal Consensus Engine
    Combines all evidence and computes a weighted authenticity score (0–100%) with reasons and trust metrics.
  2. Visual & Legal Reporting Module
    Outputs reports with:
  • Confidence scores
  • AI-generated heatmaps
  • Identified manipulation zones
  • Format: PDF, JSON, and direct forensic snapshots

3. Detection Layers

3.1 File Metadata Forensics

  • Inconsistent timestamps
  • Spoofed camera serials
  • Geo-stamp mismatches
  • Deep compression trails

3.2 Vision-Based Deepfake Analysis

  • Eye movement analysis
  • Pixel jitter & blur detection
  • Frame-level face mesh errors
  • Head pose deviation tracking

3.3 GAN & Diffusion Detection

  • GAN/diffusion model fingerprinting
  • RGB channel discrepancy
  • Residual artifact scans
  • Latent space analysis

4. Technical Backbone

4.1 Dataset & Training

  • Data Size: 1M+ human/AI-verified samples
  • Training Tools: NVIDIA NeMo, TensorRT
  • Tech Stack:
  • Vision Transformers (ViT, Swin)
  • EfficientNet & ResNet branches
  • Hybrid audio-visual sync module
  • OCR+Vision joint model for meme/text fakes

4.2 Deployment Options

  • REST API (Cloud & Edge)
  • CLI Toolkit for Linux
  • Live Streaming Scanner (RTMP/RTSP support)
  • JavaScript & Python SDKs
  • Integration-ready for WordPress, Django, Node.js, and CMS

5. Security & Performance

  • Hosted Regions: India 🇮🇳, USA 🇺🇸
  • Response Time: ~0.8s (image), ~2.4s (video frame)
  • Data Handling: AES-256 encrypted temp storage, immediate purge after scan
  • Concurrency: Scalable to 10K simultaneous scans on GPU clusters

6. Use Cases

  • Newsrooms & Fact-checkers: Rapid image/video verification before publication
  • Law Enforcement: Validates visual evidence during investigations
  • Corporate Risk Management: Identifies AI-generated media used for scams
  • Social Platforms: Scans user uploads to filter manipulated content

7. Future Roadmap

  • Browser Extension for real-time deepfake scanning
  • QR-verifiable digital truth tag
  • AI-generated voice detection
  • 3D face manipulation tracking
  • Blockchain-backed forensic chain-of-trust

8. About the Creator

Navneet Singh is an AI researcher, cybersecurity expert, and founder of ekoahamdutivnasti Technologies. His work spans advanced LLM training (Vrinda, Maya, Vastav), secure AI pipelines, and real-time media truth systems. VASTAV AI is part of his broader mission to build sovereign AI infrastructure rooted in truth, speed, and security.

Learn More

📍 Visit: https://ekoahamdutivnasti.com/vastav
📧 Contact: admin@ekoahamdutivnasti.com