# Graduation Research: LLM Chat Component for Dashboard Integration
Equans is looking for an intern for a graduation project in which a Large Language Model (LLM) is integrated as an intelligent UX layer in a dashboard. The system should enable employees to ask natural language questions about data from HR, projects, engineering and asset management.
## Assignment Components
### Research
- Inventory of user needs across multiple departments
- Formulation of relevant use cases for an LLM-UX layer
- Design of a conceptual architecture for data integration and question-to-action translation
- Analysis of risks (privacy, reliability, adoption)
### Design
- Development of UX flows for a dashboard with integrated chat
- Design of a generic way to present answers (tables, summaries, priority lists, KPI display)
### Implementation (Prototype)
- Implementation of a web dashboard with an LLM chat component
- Building a backend that translates questions into data actions and returns results
- Development of at least three end-to-end scenarios from different domains
- Testing with real users within Equans
### Deliverables
- Research report + recommendations
- UX concept and wireframes
- Working prototype
- Presentation to stakeholders
## Requirements
- You are graduating from an HBO programme in ICT, Software Engineering or Technical Informatics
- Experience with JavaScript or TypeScript (both frontend and backend)
- Interest in UX, data integration and AI technology
- Work independently, with active coordination with users and team
## What We Offer
- Professional guidance by experienced developers and architects
- A challenging assignment with concrete impact on Equans' digital strategy
- Room for creativity in technology, UX and innovation
- A workplace for experimenting, exploring and building