Talent Acquisition With AI
Nowadays in a job market where everything requires some automation, streamlining the talent acquisition process is a more contributing factor than ever. In this project, an advanced recruitment platform using cutting-edge artificial intelligence is presented. Our favourable platform boosts the matching of job seekers with relevant job openings, altering the recruitment process and assisting both employers and candidates. Through literature review, it explores AI's role in eliminating biases and improving the fairness of candidate selection processes, emphasizing its ability to assess the complete candidate pipeline efficiently. This will lift the organizations to foster the hiring process with components of a successful rate of credible and unbiased staffing. Moreover, our floor will deliver data-driven insights and motivate all collaborators taking part in the hiring process to make valid and rational decisions. The primary goal is to perfect the hiring process by the key use of artificial intelligence in order to gain the productive output of the objective of any job posting for their firms and to succeed in the job market for employers and candidates.
Keywords: NLP,Machine Learning,Artificial Intelligence,Web Developement,Front-end,Back-end
Tools: Vs Code,Google Colab,Figma,HTMl,CSS,Javascript,Flask
Department: Department of Computer Science
Project Team Members
| Name |
Email |
|
Muhammad Ali Raza
|
aliraza2020@namal.edu.pk |
|
Jai Shanker
|
jai2020@namal.edu.pk |
Project Poster
