This paper proposes a bilingual (Arabic-English) web-based research approval system in which the Flask framework, jQuery, Pandas library and SQLite database are used for implementation that can automatize academic governance processes. The solution solves critical problems at higher education institutions such as disjointed approval workflows, a lack of insight into how decisions are made and the inability to produce accreditation-ready content. By introducing multi-role access control: a) Administrator b) Head of department c) Scientific Committee d) Researcher it provides traceability and integrity of data for each decision level. Modular scalable architecture (presentation-application data-reporting layers) and bilingual + RTL (right to left) design increases its adaptability to the requirements of academic environments in Arabic. It offers a collection of automatically generated reports in Excel format containing metadata, decision history and links to the uploaded documents leading to marked decrease in cycle time and human errors. The evaluation uses both quantitative and qualitative metrics, such as approval cycle time, error rate, and System Usability Scale (SUS), to measure user satisfaction. The results demonstrate that the system increases operational efficiency, ensures the quality of teaching and learning, and meets institutional accreditation requirements. By combining the best practices of software engineering and academic quality management, this working methodology offers a versionable and replicable digital framework for sustainable research governance, monitoring, and evaluation within the university.