AI-Based Job Recommendation System Using Resume Analysis and Hybrid NLP Techniques

Key Points

• The research aims to develop an AI system that automates the job recruitment process by improving the accuracy of job matching.
• Developed an AI-based job recommendation system using NLP and machine learning techniques.
• Analyzed resumes to extract features like skills, education, and experience.
• Matched these features with job descriptions using TF-IDF and cosine similarity.
• Improved accuracy in job matching as compared to traditional methods, with a quantifiable increase in efficiency.