Degree
Master of Science in Data Science
Department
Department of Computer Science
Faculty/ School
School of Mathematics and Computer Science (SMCS)
Date of Submission
Fall 2024
Supervisor
Dr. Muhammad Sarim, Visiting Faculty, Department of Computer Science, School of Mathematics and Computer Science (SMCS)
Keywords
Agentic AI, Machine Learning, LLM
Abstract
The space of Generative AI has started seeing a shift towards AI Agents. It’s basically an emergence of compound AI systems that can work to solve more complex problems. To tackle such tasks, we need a system that behaves more like a human i.e taking a multi-step approach and breaking the task down into smaller problems. AI agents represent the forefront of Generative AI, advancing beyond basic query-response systems to become collaborative entities. By incorporating capabilities like reasoning, action-taking, feedback processing, and memory, these agents transcend mere tools, evolving into collaborative partners across various industries, with the ability to interact and cooperate to address complex challenges. The purpose of this study is to develop and explore the usability of AI agents in the travel industry. AI agents are advanced LLM systems designed to perform complex tasks. They have the ability to plan ahead, recall previous interactions, and utilize various tools to tailor their responses according to the context and desired style. The methodology involves building customized agents as per requirements e.g in our case it involves setting up multiple agents; one for planning itinerary, one for planning accommodations etc. Building agents means customizing each agent with a specified persona. This means setting it up with specific characteristics that makes it better suited for specific tasks and instructions. These individual agents use the tool they are equipped with to search and complete their respective tasks.
Document Type
Restricted Access
Submission Type
Research Project
Recommended Citation
Ahmed, S. (2024). Travel Planning Assistant - An Agentic AI Approach (Unpublished graduate research project). Institute of Business Administration, Pakistan. Retrieved from https://ir.iba.edu.pk/research-projects-msds/39
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