Project Title: Conversational Chat Bot to Solve VRPTW Problem Domains
Student: Gnana Vatti
Course: BSc Hons Computer Science with Artificial Intelligence	
	
Abstract:
The Vehicle Routing Problem with Time Windows (VRPTW) is a complex logistical challenge crucial to businesses 
optimizing delivery routes and resource allocation. Traditionally, solving VRPTW problems has required
mathematical and programming expertise, creating a barrier for individuals without a technical background.
This dissertation proposes the development of a conversational chatbot designed to democratize VRPTW
problem-solving for non-specialists.
The chatbot will guide users through the process of defining their VRPTW problem in natural language.
It will then intelligently formulate the problem mathematically in the background. Crucially, the chatbot will
leverage heuristics and algorithms to generate a solution template tailored to the user’s specific problem instance.
Users can substitute problem-specific values into this template to obtain optimized solutions.
This project is significant as it addresses the growing demand for accessible optimization tools in the modern
business landscape. By removing technical hurdles, businesses can gain efficiency and streamline operations
without relying on specialized knowledge. The project’s uniqueness lies in its integration of natural language
processing with optimization techniques, creating a user-friendly and adaptable interface.