Institute Performance Ranking Platform With Transparent Multi-Metric Evaluation

Authors

  • Iloni Pravalika, K. Sucharitha Author

DOI:

https://doi.org/10.64751/rng8mz38

Abstract

The Institute Performance Ranking Platform with Transparent Multi-Metric Evaluation is a webbased application developed to provide students and stakeholders with a reliable and transparent method for evaluating educational institutions. Traditional institute selection often depends on advertisements, unofficial websites, and incomplete information, which may lead to biased or inaccurate decisions. The proposed system addresses this problem by presenting verified institutional data through a centralized platform using multiple performance metrics. The application is developed using React.js for the frontend, Django Representational State Transfer (REST) Framework for backend services, and My Structured Query Language (MySQL) for database management. It follows a three-tier architecture that ensures secure communication, efficient data processing, and scalable performance. The platform provides role-based access with two types of users: administrator and regular user. Administrators verify user registrations, manage institute information, and ensure the authenticity of performance data, while approved users can view, filter, compare, and analyse institutes based on verified metrics such as placement percentage, student strength, location, and contact information. The system computes institute rankings automatically using a weighted multimetric evaluation approach, ensuring fair, transparent, and reproducible assessment. Application Programming Interfaces (APIs) facilitate seamless communication between the frontend and backend, while Hypertext Transfer Protocol (HTTP) enables secure data transmission. By integrating structured data management, administrative validation, and automated ranking mechanisms, the proposed platform improves transparency, reduces misinformation, and supports informed academic decision-making. The modular architecture also enables future integration of Artificial Intelligence (AI) and predictive analytics for advanced institutional performance evaluation.

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Published

2026-07-08

How to Cite

Iloni Pravalika, K. Sucharitha. (2026). Institute Performance Ranking Platform With Transparent Multi-Metric Evaluation. American Journal of AI Digital Transformation and Regenerative Pharmacist, 2(3), 80-89. https://doi.org/10.64751/rng8mz38