Background:
Industrial devices and systems often require troubleshooting support to resolve operational issues. However, complex user interfaces/display and limited access to real-time assistance can hinder effective problem resolution. An offline chatbot, designed for lightweight deployment on edge devices, offers a promising solution by providing an accessible, standalone tool for guiding users through troubleshooting without requiring internet connectivity.
This thesis focus is developing a lightweight chatbot solution tailored for small-scale troubleshooting scenarios (e.g., for industrial devices like Munters dehumidifiers). The project will explore the design, implementation, and evaluation of the chatbot, emphasizing efficiency, usability, and edge device compatibility.
Allowing for a more comprehensive development process, this thesis will possibly be conducted in collaboration with another student who will focus on UI/UX area.
Objective:
The primary objective of this thesis is to design, implement, and evaluate a lightweight chatbot solution (as proof of concept) that:
Enhance the user interaction of our dehumidification products during alarms, warnings, and observations Provides accurate and user-friendly troubleshooting assistance. Is optimized for deployment on limited computational resources.
Scope of Work:
Skills Required:
We will review the applications as they come in, so please send your application as soon as possible but no later than Jan 12th.
Zeinab Moradi Nour, R&D manager AI & control
zeinab.moradinour@munters.com