Eliminating Redundant Data Entry in Online Job Applications Using UiPath

In today's competitive job market, job seekers face significant challenges when applying to multiple positions across various online portals. The repetitive nature of entering identical information on different platforms is time-consuming, error-prone, and mentally exhausting. This paper presents an innovative Job Application Automation Portal that combines Full Stack web development with Robotic Process Automation (RPA) using UiPath. The system allows users to enter their personal, educational, and professional details once through a web interface, storing this information in a Mongodb database. A UiPath bot then automatically retrieves this data and applies to multiple job portals without manual intervention. The system reduces application time from 1-2 hours for 10 applications to approximately 18 minutes, representing a 90% time reduction. Testing with 25 pilot users over 4 weeks demonstrated a 95% reduction in data entry errors and a 98.5% application success rate. The architecture comprises an HTML/CSS/JavaScript frontend, Node.js and Express backend, MongoDB database, and UiPath automation workflows. This research contributes to intelligent automation in human resource management and provides a scalable solution for repetitive form-filling tasks across various domains.