A privacy-first AI agent that sanitizes your prompts locally with a local LLM before forwarding to remote LLM APIs.
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Updated
Jun 18, 2026 - Python
A privacy-first AI agent that sanitizes your prompts locally with a local LLM before forwarding to remote LLM APIs.
Privacy-first ear biometric segmentation - 99%+ accuracy with <2M parameters for edge authentication and GDPR compliance
Privacy-first real-time face mask detection in the browser using YOLO-Fastest, NCNN, C++, and WebAssembly.
A privacy-first local coding agent that consults frontier AI models without exposing your source code.
A curated collection of privacy-preserving machine learning techniques, tools, and practical evaluations. Focuses on differential privacy, federated learning, secure computation, and synthetic data generation for implementing privacy in ML workflows.
Production Android AI with ExecuTorch 1.0 - Deploy PyTorch models to mobile with NPU acceleration and 50KB footprint
Privacy-aware, local-first router for your CLI coding agents (Codex, Claude Code) and local LLMs (Ollama) — keeps sensitive prompts on-device and cuts premium-model usage.
Privacy-Preserving Healthcare AI Platform powered by Federated Learning.
Privacy-first decentralized AI training network combining federated learning, blockchain incentives, and quantum-safe cryptography. Enable secure collaborative model development without sharing raw data.
Regulatory AI auditing toolkit with depth-aware homomorphic encryption, CKKS support, and cryptographically signed audit evidence.
Privacy-Preserving Personalized Federated Learning for Fair and Robust Intrusion Detection under Non-IID Data
A privacy-preserving federated learning framework for credit risk assessment and loan default prediction using FedAvg.
Policy-gated federated learning for global supply-chain intelligence. Enables enterprise-sovereign AI for disruption prediction and carbon-compliant routing without sharing raw logistics data.
Open-source, AI-native, blockchain-secured, and interoperable Medical Intelligence Operating System unifying CDSS, IoT monitoring, and federated learning.
Privacy-preserving AI for global agriculture. Enables policy-gated federated learning for sustainable yields and climate resilience while maintaining full farmer data sovereignty.
Flutter app: on-device MedGemma, FHIR via MCP, Apple Health + SQLite for private health Q&A and research.
Policy-gated federated learning for global climate intelligence. Enables nation-sovereign AI for carbon tracking and risk analytics without sharing raw environmental data.
Neuro-Continuum — An experimental architecture for context-adaptive AI that estimates probabilistic interaction states and dynamically selects safer, more useful response policies. Privacy-preserving · Uncertainty-aware · Safety-guarded.
Privacy-aware LLM routing with PII detection, transformer actor-critic policy learning, and PPO-based local/remote inference.
Production-Grade AI Engineering Portfolio by Muhammad Ibrahim: Generative AI, GraphRAG, Multi-Agent Swarms, AI Safety Guardrails, MLOps, Computer Vision (YOLOv8/VLMs), Privacy-Preserving AI & Full-Stack AI Mobile/Web Apps.
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