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AI assistants

IM AI

An AI workspace connecting questions, documents, and public-finance information.

Created with my team

At a glance

IM AI addresses the fragmented work of finding official information, preparing documents, and turning analysis into presentations. It is intended for ministry staff and leadership working with economic and public-finance information. Our team’s documented work connects AI conversation, document assistance, currency information, and charts across desktop and mobile workstreams. Shared services, WebSocket updates, and identity integration are central technical decisions. The project illustrates how several AI capabilities can fit into one workspace. This case study describes documented capabilities; it does not establish deployment coverage or independently measured performance.

IM AI assistant interface in Uzbek
Product interface · original language: Uzbek

Created with my team

The projects in this portfolio are a shared effort. Product decisions, architecture, engineering, and delivery belong to the people who build together. My responsibilities vary from project to project.

01

The problem

Staff need to move between official information, source documents, analysis, and presentations. Separate tools make that work fragmented.

02

Who it serves

Ministry staff and leadership working with economic and public-finance information.

03

What we build

Our team brings AI conversation, document workflows, currency information, and analytical visualizations into one workspace across desktop and mobile applications.

04

Engineering decisions

Shared services connect the clients. WebSocket events support responsive charts and tables, while SSO and identity integration support controlled access.

05

Capabilities

Official-information retrieval, document assistance, presentation support, and chart/table generation, with Windows, iOS, and Android workstreams.

06

Context & limitations

This overview describes the team’s documented capabilities and engineering work. Deployment scope and independently measured performance are not published here.

Expertise

Technical foundation

LLMWebSocketSSODocument processing
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