Conversational AI System for Error Checking Submission Forms

Large Language Model (LLM) bots are becoming increasingly prevalent, aiding users in interacting with data in a human-like conversational manner. This project aims to leverage an LLM, such as ChatGPT, to create a virtual assistant capable of analysing submission forms to ensure all the information is correct. The problem we face is that submission spreadsheets often undergo subtle alterations, making it difficult to ingest the data correctly without manual checking. These minor changes can be hard to detect, requiring extensive manual intervention to fix.

To address this, I propose developing a chatbot or virtual assistant. The chatbot will initially perform the following functions: accept a chain of custody, digest and check the form for errors, and inform the user if any errors are found. By training the AI to identify and correct common errors, we can streamline the data submission process, reduce the need for manual error checking, and ensure data integrity within the LIMS. This solution will enhance efficiency, allowing us to focus on more critical aspects of laboratory management.

Client


Contact: Mark Castalanelli
Phone: 0409102576
Email: [email protected]
Preferred contact: Email
Location: Bentley

IP Exploitation Model


The IP exploitation model requested by the Client is: GNU General Public License (open source) http://opensource.org/licenses/GPL-3.0


Department of Computer Science & Software Engineering
The University of Western Australia
Last modified: 18 July 2024
Modified By: Michael Wise 		UWA