Memory Management Chatbot

Goals

The main goal of this project is to debug and refactor an application, so it makes efficient use of memory, and also to fix a crash that always happens when the application is closed. The key aspects of the refactoring are exclusive versus shared ownership, ownership transfer, shared pointers, rule-of-five, and move semantics.

Results

The application creates a dialogue where users can ask questions about some aspects of memory management in C++. After the knowledge base of the chatbot has been loaded from a text file, a knowledge graph representation is created in computer memory, where chatbot answers represent the graph nodes and user queries represent the graph edges. After a user query has been sent to the chatbot, the Levenshtein distance is used to identify the most probable answer.