> For the complete documentation index, see [llms.txt](https://aiwell.gitbook.io/aiwell/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://aiwell.gitbook.io/aiwell/utility/technical-architecture.md).

# Technical Architecture

**AI Algorithms**

AIWELL uses advanced natural language processing (NLP) and machine learning models to interpret user inputs and predict potential diseases. The models are trained on vast datasets of medical literature, research, and clinical case studies.

**Blockchain Integration**

The platform incorporates blockchain to store user data securely, ensuring:

* **Transparency:** Immutable health records accessible only by the user.
* **Security:** Decentralized storage prevents unauthorized access.
* **Privacy:** Users maintain control over who can access their data.

**User Interface**

AIWELL features an intuitive, user-friendly interface available through web and telegram bots, ensuring accessibility for all.