AI-Driven Intelligent Skill-Based Role Recommendation Model for Optimized Recruit
Budget: ₹400 – ₹750 INR
– Developed an AI-powered intelligent recruitment system that enhances the hiring process by intelli-
gently matching candidates with the most relevant job roles using machine learning and NLP.
– Analyzed job descriptions and candidate resumes using advanced text vectorization techniques like Sen-
tence Transformers and TF-IDF, ensuring accurate role recommendations.
– Employed cosine similarity to calculate the best-fit matches between candidates and jobs, optimizing the
recruitment process and ensuring high compatibility.
– Built a web-based interface with Streamlit for easy user interaction and seamless job application pro-
cesses.
– Enhanced the overall recruitment workflow by utilizing predictive analytics, ensuring efficient and data-
driven hiring dec
gently matching candidates with the most relevant job roles using machine learning and NLP.
– Analyzed job descriptions and candidate resumes using advanced text vectorization techniques like Sen-
tence Transformers and TF-IDF, ensuring accurate role recommendations.
– Employed cosine similarity to calculate the best-fit matches between candidates and jobs, optimizing the
recruitment process and ensuring high compatibility.
– Built a web-based interface with Streamlit for easy user interaction and seamless job application pro-
cesses.
– Enhanced the overall recruitment workflow by utilizing predictive analytics, ensuring efficient and data-
driven hiring dec
Related categories:
Python
Machine Learning (ML)
Artificial Intelligence
Data Analytics
Data Visualization