AI-Powered Job Market Intelligence and Salary Prediction System using NLP and Machine Learning

The exponential growth of
various online recruitment sites has
resulted in the creation of a large-scale
heterogeneous data related to the job
market, which also includes unstructured
data related to the various aspects of jobs,
skills, experience, and salaries offered. The
analysis of the unstructured data related to
the job market and the derivation of
meaningful insights from the same is a
challenge for the conventional data
analysis techniques. This paper proposed
an AI-based "Job Market Intelligence and
Salary Prediction System" using various
"Natural Language Processing" and
"Machine Learning" techniques for the
effective analysis of the unstructured data
related to the job market. Different text
preprocessing and TF-IDF techniques
have been effectively implemented by the
proposed system for the effective
transformation of the unstructured data
related to the job market. A supervised
learning-based model has also been
implemented for the proposed system for
the salary prediction using various input
features for the proposed system.