Pre-Trained Model Trade-Off Matrix
Comparative analysis of six leading pre-trained models across NLP, Computer Vision, and Tabular Data — evaluating size, accuracy, speed, explainability, and energy cost to guide real-world deployment decisions.
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Explainable AI (XAI)
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How Generative AI LLMs Are Trained
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Neural Network Visual Framework
Interactive guide to layers, neurons, weights, and optimization strategies with animated diagrams.
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ML Algorithm Framework
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PromptCraft
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AI Shield
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Security Knights
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Smart Travel by AirLytics
View Project →Semantic Threat Detector
Real-time detection of adversarial intent, prompt injections, and manipulation patterns that keyword filters miss — by analyzing meaning in semantic vector space.
Run Demo →ForensAI — AP Fraud Detection
AI-powered accounts payable fraud analysis for independent forensic accountants. Runs Benford's Law, duplicate invoice detection, threshold splitting, and shell company scoring against real AP ledger data — generating court-ready evidence chains in 90 minutes instead of three days.
Open App →FairAudit AI — Bias Detection for High-Stakes AI
A horizontal bias audit framework for AI systems across hiring, lending, healthcare, justice, education, housing, and beyond. Maps regulatory requirements (NYC LL144, EU AI Act, NIST AI RMF) to defensible statistical audits — turning fairness compliance from a checkbox into evidence.
View Framework →AeroMind Intelligence — Responsible AI Framework
A production-ready RAI framework for a fictional aviation AI company — integrating 9 ethical principles, 8 governance roles, a 12-month implementation timeline, NIST SP 1270 bias controls, GDPR & EU AI Act compliance, and an 8-stage lifecycle with formal disposition protocols.
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