• Geddada Nethranand
• Dr. Rakesh Sharma
• Kanishka M Patel
• Abhishek
• Madan M Raikar

Manual revaluation processes in educational institutions are often inefficient, requiring students to navigate cumbersome administrative procedures and causing delays in result updates. PunarEval addresses these challenges by introducing a cloud-based online revaluation system that streamlines application submission, payment processing, and status tracking. Built with a Node.js backend, MongoDB database, and Cloudflare Workers for traffic management, the system ensures scalability, low latency, and robust security. Key features include secure payment integration via Cashfree, real-time application tracking, and load balancing to handle peak traffic. Designed for institutions like Visvesvaraya Technological University (VTU), PunarEval enhances operational efficiency and user experience. Experimental results demonstrate reduced processing times and improved transparency, with potential for future enhancements like AI-driven analytics and blockchain-based record security. This work showcases the transformative potential of cloud computing in modernizing educational administrative systems.

Cloud computing, online revaluation, payment gateway integration, traffic management, load balancing, edge caching, educational technology, secure authentication, scalability, administrative automation.

"PunarEval: A Scalable Online Revaluation System with Secure Payment Integration and Traffic Management", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.477-482, July-2025, Available :http://www.jetir.org/papers/JETIRGX06090.pdf

"PunarEval: A Scalable Online Revaluation System with Secure Payment Integration and Traffic Management", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. pp477-482, July-2025, Available at : http://www.jetir.org/papers/JETIRGX06090.pdf