We are developing a unique AI-based system which is an alternative to machine learning. The system acquires knowledge from experts and specialists as they use the system to support their decision making and stores it in a particular knowledge base structure. The method is based on research into AI and knowledge acquisition and offers a unique way to acquire knowledge, a unique knowledge data structure, and a unique way to traverse that structure. For the end-user it offers decision support / automated decision making and accompanying explanations.

The system is developed using Flask / Python in the backend, Postgres as database and React / Javascript in the frontend.

The current state of the system is for demoing purposes, and we will use the same architecture to mature the system into a robust product. Some of the items on our todo list are

• Optimisation of the front-end

• User authentication

• Security end-to-end

• Improvement of the user experience / user interface

• Optimisation of the back-end

• Secure the full stack for multi-user use

Also, for every new client we expect to create specific API's / data integration and most likely also extensions to the system, so we need version control and the optimal way to seperate general from client-specific functions.

Good knowledge of React and Javascript is a must. We found state mangement, persisting data, best use of css, useReducer / useContext, etc challenging. We fixed it, but we expect that you know these concepts better, can explain them to us and that together we can decide on a design and straighten up the code.