| dc.contributor.author | Hettiarachchige, Rishini | |
| dc.date.accessioned | 2025-06-27T05:37:26Z | |
| dc.date.available | 2025-06-27T05:37:26Z | |
| dc.date.issued | 2024 | |
| dc.identifier.citation | Hettiarachchige, Rishini (2024) TrajectScope: Early-Stage Resource Allocation Prediction Tool in Project management. BSc. Dissertation, Informatics Institute of Technology | en_US |
| dc.identifier.issn | 2019131 | |
| dc.identifier.uri | http://dlib.iit.ac.lk/xmlui/handle/123456789/2719 | |
| dc.description.abstract | "This thesis presents TrajectScope, a novel tool enhancing early-stage resource allocation, designed to bridge gaps in project management by integrating key parameters skillset, timelines, workload cost, client and project details with a quality score based on feedback. The study develops a customized algorithm for optimal resource allocation at an early stage and a feedback-based quality score mechanism. TrjectScope’s implementation marks a significant leap forward in offering a unified view of project data at early stages and integrating client and stakeholder feedback into a measurable quality score. This approach enhances decision making and project performance evaluation. The tool advances project management by providing a predictive model for resource allocation, emphasizing emotional intelligence through feedback analysis. Future developments aim to extend TrajectScope’s capabilities to accommodate dynamic project schedules and broader system integration, permission enhanced efficiency and effectiveness in project management." | en_US |
| dc.language.iso | en | en_US |
| dc.subject | Software Project Management | en_US |
| dc.subject | Resource Allocation | en_US |
| dc.subject | Early-stage predictions | en_US |
| dc.title | TrajectScope: Early-Stage Resource Allocation Prediction Tool in Project management | en_US |
| dc.type | Thesis | en_US |