Where technology meets intelligence. Exploring AI, cybersecurity, and modern computing through deep research and real-world experimentation.
EKOAHAM is an independent AI and technology research platform founded by Navneet Singh. The platform focuses on artificial intelligence, cybersecurity, hardware analysis, and modern computing.
We publish in-depth articles, real-world experiments, and original research — including VASTAV AI and VRINDA AI — to help people understand how technology actually works, beyond marketing hype.
Navneet Singh is an Indian developer, AI engineer, and cybersecurity researcher who built EKOAHAM to bridge the gap between cutting-edge technology and practical understanding.
He is the creator of VASTAV AI, a deepfake detection and media authentication system, and Vrinda AI, an intelligent conversational assistant platform — both developed independently through years of research and hands-on experimentation.
EKOAHAM exists because Navneet believes that understanding technology deeply is the first step toward using it responsibly.
Deep research and practical insights into the technologies shaping our future.
Deep dives into artificial intelligence — from transformer models to real-world AI systems and architectures.
Understanding and defending against modern threats, including deepfakes, misinformation, and digital fraud.
Honest analysis of hardware, GPUs, and performance metrics — without marketing noise or bias.
Exploring tools developers actually use — frameworks, AI platforms, and system-level technology.
Production-ready AI tools designed to solve meaningful problems.
Truth Detection System
Advanced deepfake detection and media authentication system. Protect truth in the digital age with industry-leading accuracy.
Conversational Intelligence
Conversational AI designed for research assistance, structured reasoning, and natural Indian language patterns.
In-depth research, tutorials, and analysis on AI and technology
Executive Summary: The Transformer architecture, introduced by Vaswani et al. (2017), revolutionised sequence modeling by replacing recurrence with self-attention, enabling much greater parallelism an...
Executive Summary AI-generated data in training sets can induce gradual “degradation” of model performance. In this re...
Author: Navneet Singh AI Engineer and Cybersecurity Researcher | Ekoahamdutivnasti Technologies Published: March 2026 Abstract Eve...
The digital landscape of 2025 has witnessed an explosive phenomenon that’s simultaneously entertaining millions and terrifyi...
I’ll be honest with you: when I first heard about AI making music, I thought it was going to be garbage. Like, how could a c...
Committed to honest, unbiased technology coverage and research.
All our analysis is conducted independently without external influence or bias.
We don't accept payment for reviews. Our opinions are always our own.
We explain our testing process and share our data openly with readers.
All articles and research are freely accessible to everyone, always.
