Abstract:
This study offers an innovative job platform created
especially for IT professionals in Sri Lanka to address pressing
issues in the IT job market. The platform focuses on four main
challenges: identifying fake job postings using NLP techniques,
providing customized job recommendations based on skill assessments,
enhancing the candidate application process through
facial analysis, and evaluating resumes based on experience and
job levels. The DistilBERT text analysis fake job detection model
achieves a remarkable overall accuracy of 98%. Our system
combines skill assessments with content-based filtering to deliver
useful job recommendations. The stress level estimator and
Siamese models are used to face verification while assessing the
candidate’s stress level. The resume enhancement system powered
by PyPDF2 and a deep neural network, boasts an impressive
86.6% accuracy in evaluating job candidates’ experience. It also
streamlines resume creation with a ReactJS generator.
