SIMPLY HIRED - A WEB APP TO APPLY AND TRACK JOBS!
Abstract & Details
Research Area
Computer Engineering
Keywords
Interview
job application
job tracking
job searching
web app
job search application
tracking
application
automatic tracking system
job application portal
job search track and apply
jobs system
Abstract
Simply Hired is your all-in-one solution for seamless job tracking and application management. In today's dynamic
job market, finding the right opportunities can be a challenging journey. Whether you're a seasoned professional or
just starting your career, our web app, developed using the powerful MERN Stack (MongoDB, Express.js, React.js,
and Node.js), is designed to simplify and enhance your job search experience. Simply Hired is more than just a jobtracking tool. it's your personalized job-hunting companion. With its intuitive interface and robust features, Simply
Hired empowers you to organize, monitor, and streamline your job applications effortlessly. Our commitment is to
provide you with a comprehensive job search and application management tool that simplifies the complexities of
the job market. Whether you're a recent graduate entering the workforce or a seasoned professional seeking new
challenges, Simply Hired is here to support you at every step of your career journey. This integration saves users
time and effort by eliminating the need to browse multiple websites. In addition, Simply Hired uses advanced search
engines to provide personalized job recommendations based on users' interests, skills, and experience, ensuring
people are given the time that suits their profile. One of the key features that makes Simply Hired unique is its
intuitive and user-friendly design to enhance the overall user experience. The app features a beautiful, modern
design combined with easy-to-understand navigation, making it easy for users to search for jobs, filter search
results, and submit applications in just a few clicks.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | RAJASEKAR S S | BANNARI AMMAN INSTITUTE OF TECHNOLOGY |
| 2 | NAVEEN V M | BANNARI AMMAN INSTITUTE OF TECHNOLOGY |
| 3 | ARUN K | BANNARI AMMAN INSTITUTE OF TECHNOLOGY |
| 4 | MUHAMMED THAHA A I | BANNARI AMMAN INSTITUTE OF TECHNOLOGY |
How to Cite
Use the following formats to cite this article in your research.
APA Style
S, RAJASEKAR S, M, NAVEEN V, K, ARUN, & I, MUHAMMED THAHA A (2024). SIMPLY HIRED - A WEB APP TO APPLY AND TRACK JOBS!. International Journal of Advance Research and Innovative Ideas In Education, 10(2), 2191-2199.
MLA Style
S, RAJASEKAR S, et al. "SIMPLY HIRED - A WEB APP TO APPLY AND TRACK JOBS!." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, 2024, pp. 2191-2199.
IEEE Style
RAJASEKAR S S, NAVEEN V M, ARUN K, and MUHAMMED THAHA A I, "SIMPLY HIRED - A WEB APP TO APPLY AND TRACK JOBS!," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, pp. 2191-2199, 2024.
Vancouver Style
S RAJASEKAR S, M NAVEEN V, K ARUN, I MUHAMMED THAHA A. SIMPLY HIRED - A WEB APP TO APPLY AND TRACK JOBS!. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(2):2191-2199.
Harvard Style
S, RAJASEKAR S, M, NAVEEN V, K, ARUN, & I, MUHAMMED THAHA A (2024) 'SIMPLY HIRED - A WEB APP TO APPLY AND TRACK JOBS!', International Journal of Advance Research and Innovative Ideas In Education, 10(2), pp. 2191-2199.
Chicago Style
S, RAJASEKAR S, et al. "SIMPLY HIRED - A WEB APP TO APPLY AND TRACK JOBS!." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 2191-2199.
Turabian Style
S, RAJASEKAR S, et al. "SIMPLY HIRED - A WEB APP TO APPLY AND TRACK JOBS!." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 2191-2199.
Related Research
Comprehensive Review of Existing Chatbot Systems for Career Assistance, Resume Support, and ATS-Aware Guidance
PDF Unavailable
Development of an AI-Powered Multimodal Web Assistant with Intelligent Resume Building and ATS Enhancement
PDF Unavailable
A Deep Learning-Based Framework for Mood-Oriented Music Recommendation Using Facial Expression Analysis
PDF Unavailable
Survey On : Intelligent Payroll and Human Resource Management Systems: A Systematic Review of Automation, Security, and Analytics
PDF Unavailable
Civic Engagement & Empowerment Platform
PDF Unavailable
Recent Developments in Microneedle Technology and Its Diverse Biomedical Applications
PDF Unavailable
RAG System Development with Pydantic AI ChromaDB & Groq
PDF Unavailable
Machine Learning Based Early Stage Diabetes Detection System
PDF Unavailable
A Survey on Skillsense:AI Career Analyzer App
PDF Unavailable
Employee Performance Portal
PDF Unavailable