PYTHON POWERED COLLEGE RECRUITMENT PLATFORM


EOI: 10.11242/viva-tech.01.05.001

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Citation

Rushabh Nikam, Shubham Patil, Aasavaree Rane,kushal Suvarna, "PYTHON POWERED COLLEGE RECRUITMENT PLATFORM", VIVA-IJRI Volume 1, Issue 7, Article 1, pp. 1-7, 2024. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.

Abstract

The "Python Powered College Recruitment Platform" is an innovative and efficient solution designed to streamline the college recruitment process for both students and employers. In today's competitive job market, it is crucial to connect talented students with suitable job opportunities, and this platform leverages the power of Python to achieve this goal. This platform offers a user-friendly interface for students, allowing them to create profiles, upload their resumes, and browse through a wide range of job listings. It also provides features like personalized job recommendations based on their skills and preferences. Employers can register on the platform, post job openings, and access a database of qualified student profiles. Python, a versatile and widely-used programming language, serves as the backbone of the system, providing robust data processing and analysis capabilities. Through the use of Python, the platform can match students with job listings that closely align with their academic qualifications and career aspirations. Machine learning algorithms are employed to continuously improve the recommendation system, making it a dynamic and adaptive tool. Moreover, the platform incorporates data analytics to provide insightful metrics to colleges and employers. Institutions can monitor the success of their students in the job market, while employers can analyze the effectiveness of their recruitment strategies. In summary, the "Python Powered College Recruitment Platform" is an innovative solution that harnesses the capabilities of Python to create a seamless and efficient bridge between students and employers. By integrating data-driven recommendations and analytics, it not only simplifies the recruitment process but also contributes to the success of both students and organizations in the ever-evolving job market.

Keywords

Python , Recruitment , Resume, Job matching , student empower Bridge.

References

  1. Suraj Trimukhe ”Training And Placement System” Padmashri Dr. Vithalrao Vikhe Patil College of Engineering, Ahmadnagar, Maharashtra, India
  2. G.Midhilesh, S.Satya Sri 2019 “WEB BASED PLACEMENT ANALYSIS AND TRACKING SYSTEM” Anil Neerukonda institute of technology and science
  3. Maryam Sayyed, Faiza Umatiya “COLLEGE PLACEMENT MANAGEMENT SYSTEM” 1Rizvi College of Engineering, Mumbai, India. 2020 IJCRT | Volume 8, Issue 6 June 2020 | ISSN: 2320-2882
  4. Afiya Banu, Dr.Manju Bargavi 2022, “Research on Placement Management System ”ISSN : 2321-9653, IJRASET41657.
  5. Gunjan Jewani , Swati Sahare, “Online Training and Placement System” Conference IEEE 2023
  6. Lalit Mohan Joshi “Research Paper on College Management System” International Journal of Computer Applications (0975 – 8887) Volume 122 – No.11, July 2015
  7. Sonali Suryanvanshi “Placement Management System” UGC Approved Journal no 63975, ISSN: 2349- 5162
  8. Twinkle Panchal “Placement Management System” International Research Journal of Engineering and Technology (IRJET), Volume: 09 Issue: 04 | Apr 2022.
  9. Ajeena Sunny “Placement Management System for Campus Recruitment” International Journal of Innovative Science and Research Technology, Volume 5, Issue 5, May – 2020.
  10. Samrudhi Padwal “E-TRAINING AND PLACEMENT MANAGEMENT SYSTEM” ijrmets Volume:04/Issue:06/June-2022.