An Automated Pool Service Management Framework for Efficient Maintenance and Monitoring

@article{1715482,
      author = {S. Divya, S. Parthasarathy},
      title = {An Automated Pool Service Management Framework for Efficient Maintenance and Monitoring},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {9},
      number = {9},
      pages = {2237-2243},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1715482.pdf},
      abstract = {The increased demand for skilled consultants in various organizations has created a need for efficient consultant management systems. The traditional methods of managing consultant information, such as maintaining manual records or using spreadsheets, are not efficient and are prone to errors. The objective of this project is to design and implement a "Consultant Management System," a web application that enables efficient management of consultants in various organizations, starting from the onboarding process up to the project placement phase. The system offers various functionalities such as resume analysis, training management, attendance tracking, and opportunity management. Consultants can upload their resumes, get course recommendations based on their skills, and track their training. Additionally, they can apply for opportunities. The system offers administrators the opportunity to keep track of consultants, manage their training, and keep track of job opportunities. The system has been developed using modern web development technologies such as Node.js, Express, MongoDB, and JavaScript},
      keywords = {Consultant Management System, Resume Analyzer, Training Management, Digital Consultant Platform.},
      month = {March},
      doi = {https://doi.org/10.64388/IREV9I9-1715482}
  }