The recruitment process is a critical aspect of talent acquisition for organizations, necessitating efficient methods for resume management and candidate discovery. In response to this need, here, we present research onresume finder, it is a sophisticated web-based application designed to streamline resume management and enhance candidate discovery for recruiters, HR personnel, employers, and job seekers. Leveraging a modern tech stack including MongoDB, ReactJS, ExpressJS, and NodeJS, the application offers advanced features such as secure authentication, resume uploading and editing, advanced search and filtering, and intuitive user interface. The project emphasizes data security, scalability, and user experience, with robust authentication mechanisms, modular architecture, and responsive design. Through comprehensive testing, including unit testing, integration testing, and end-to-end testing, the application ensures reliability, performance, and usability. Future scope includes the integration of machine learning algorithms, natural language processing enhancements, social media integration, and continuous user feedback for iterative improvements. Overall, the Resume Finder project represents a significant advancement in modernizing the recruitment process, offering a comprehensive platform for resume management and candidate discovery in today's competitive job market.