projects
Open-source frameworks and protocols advancing AI, privacy, and distributed systems
Open Source Projects
Building frameworks and protocols that advance AI safety, privacy engineering, and distributed systems
Production-Ready Frameworks
AI Metacognition Toolkit
Production-ready Python framework for detecting and analyzing metacognitive capabilities in AI systems - enabling transparent, systematic reasoning at scale.
- Bayesian situational awareness detection with KL divergence measures
- Counterfactual chain-of-thought analysis for causal attribution
- Real-time production monitoring with automated alerting
- 275 tests, 95% code coverage, production-hardened
LLMConsent
Privacy-preserving consent management protocol for LLM training data - enabling transparent opt-in/opt-out mechanisms with cryptographic verification.
- Decentralized consent registry on public blockchain
- Cryptographic proof of consent status
- Real-time opt-out enforcement for AI training
- GDPR-compliant privacy controls for GenAI era
OConsent Protocol
Open-source blockchain-based protocol for transparent personal data consent management - enabling granular control and tamper-proof audit trails.
- Published research paper (2021, BITS Pilani)
- Transparent consent lifecycle management
- GDPR-compliant with automated compliance reporting
- Real-time privacy breach alerts
Open Location Proof Protocol
Privacy-aware open protocol for non-repudiable location verification in physical or virtual spaces - with cryptographic proof and decentralized architecture.
- Cryptographically secure location attestation
- Privacy-preserving proof mechanisms
- Fully decentralized, tamper-resistant
- Complete technical specifications published
Want to Contribute?
These projects are open source and welcome contributions. Whether you want to report issues, suggest features, or submit pull requests - your input helps advance the field.