HAYAT
A Python assistant for Windows with a shared runtime for conversation, voice, research and permissioned tools. Learn how its documented architecture connects planning, authority and observed outcomes.
Public engineering work
AI and cloud projects by Mohsin Khan Shaik
Explore the source, architecture and implementation status of HAYAT and Cloud-Native AI Platform. These notes describe what is documented or present in the repositories and make unfinished work explicit.
Cloud-Native AI Platform
A FastAPI service scaffold with metrics, container configuration and a Kubernetes deployment manifest. The implementation notes identify what is present and which model, infrastructure and delivery features remain unfinished.
How to read these project notes
Each project has its own page, a direct summary, source links and a clearly described review scope. A repository may change after the review date. A feature described in documentation is not automatically a verified runtime result, and planned features are distinguished from implemented source.
For source-level details, follow the repository links. For questions, use each project's issue tracker or discussions. For collaboration or a role, contact Mohsin Khan Shaik.
Which project should I explore?
| Interest | Start here |
|---|---|
| Local models, desktop assistants, permissions and verification | HAYAT architecture overview |
| API routes, service metrics, containers and deployment manifests | Cloud-Native AI Platform implementation notes |