Multi-Profession Assistant System
| dc.contributor.author | Muhammad Khawar Jahangir S2022027007 Aamir Haider S2022027031 Muhammad Zain Ul Abdin S2022027009 | |
| dc.date.accessioned | 2025-10-01T08:03:01Z | |
| dc.date.available | 2025-10-01T08:03:01Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | In the rapidly evolving landscape of artificial intelligence, the development of specialized AI based assistants presents a significant leap forward in automating and personalizing digital communication and information retrieval. This project introduces a dual-module AI assistant system designed to enhance productivity and user engagement in academic and professional settings. The system comprises two core modules: Jinjar, an email assistant, and Adams, an admission assistant, each powered by OpenAI's GPT-3 model to offer tailored responses and interactions based on user inputs. | |
| dc.identifier.uri | https://escholar.umt.edu.pk/handle/123456789/7560 | |
| dc.language.iso | en | |
| dc.publisher | UMT,LAHORE | |
| dc.title | Multi-Profession Assistant System | |
| dc.type | Thesis |