TrainPro: A Multi-Tenant SaaS Training and HR Management Platform

Dharmendra Pal, Prashant Chauhan, Aditya Tomar, Pavan Kumar and Payal Goel

International Journal of Scientific Research in Science and Technology, 2026, vol. 13, issue 2, 993-1002

Abstract: The rapid digital transformation of corporate learning has created growing demand for integrated, cloud-based training management systems. Existing enterprise platforms such as Cornerstone OnDemand and SAP SuccessFactors are expensive, complex to deploy, and inaccessible to small and medium-sized enterprises (SMEs) in India. This paper presents TrainPro — a multi-tenant SaaS training and HR management platform built using React.js, Node.js/Express.js, and PostgreSQL — that enables organisations to onboard employees, manage structured training programmes, conduct online assessments, issue digital certificates, track attendance, process payroll, and monitor performance from a single dashboard. The platform implements a three-tier role hierarchy — Super Admin, Organisation Admin, and Employee — with JWT-based authentication, bcrypt password hashing, and organisation-level data isolation through tenant middleware. Key modules include training management with video uploads (Multer), examination and auto-grading, certificate template management with auto-issuance, attendance with auto punch-out scheduling, leave management, payroll and benefits computation, goal tracking, and a configurable public-facing landing page builder for each organisation. Evaluation results demonstrate a REST API average response time of 142 ms, 100% endpoint test coverage across 63 API routes, and successful concurrent session handling across multiple organisations. A usability survey of 30 testers confirmed a System Usability Scale (SUS) score of 79.6/100.

Keywords: TrainPro A Multi-Tenant; Multi-Tenant SaaS Training; Management Platform (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:etm:ijsrst:v13:y2026:i2:id:1551

DOI: 10.32628/IJSRST2613397

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