ARCHIVEHUB: Web-based Dashboard to Maintain and Rate Researchers’ Profiles

The research project aims to develop a web-based dashboard that addresses the challenges faced by academic staff researchers. The problem is the fragmentation of publicly available information regarding funding and grants, making it challenging to obtain comprehensive summaries. Additionally, predicting appropriate conferences or journals based on the title or abstract of a research paper is time-consuming. Furthermore, the absence of a standardized rating mechanism hinders the fair evaluation of researchers. To overcome these obstacles, we propose a solution that utilizes advanced algorithms to summarize funding and grant data, predict suitable venues for publication, and establish an objective rating system for researchers. The proposed method will automatically generate personalized research profiles by leveraging machine learning techniques. The anticipated results of this research endeavor will significantly impact the academic community, streamlining the process of showcasing researchers' work, facilitating collaboration opportunities, and fostering a more efficient and productive research ecosystem. The contributions of this project will empower researchers to highlight their accomplishments and contribute to the advancement of their respective fields.