⚖️ AI Fairness Training Gym — Detect, Measure, Fix & Explain bias in AI models using RL (PPO) + Gemini AI | Google Solution Challenge 2026

RAD-XAI is an explainable-AI framework for chest X‑ray pneumonia detection that benchmarks CNNs and ViTs using Grad‑CAM-based saliency maps and quantitative XAI metrics (concentration, faithfulness, agreement) to audit model reasoning and surface clinically unsafe failure modes beyond standard AUC/accuracy.

Decision Copilot is a CLI-first, LLM-powered decision analysis tool that runs structured multi-agent reasoning pipelines with full persistence, explainability, and reproducibility.

AI-powered customer churn prediction system with explainable AI (SHAP), interactive dashboard, and conversational insights using LLMs.

CNN-based image classifier with xAI explainability techniques — Saliency Maps, Grad-CAM, LIME, RISE and uncertainty rejection. Built with PyTorch and Optuna.

Explainable AI system for CV evaluation, field detection, and personalized feedback

Heart Failure detection model using Explainable AI (Decision Trees).