Smart Career Guidance & Recruitment System

Description: An AI-driven project aimed at helping students find suitable career paths and job opportunities by analyzing job descriptions and student CVs.

Technologies: Python, Streamlit, Natural Language Processing (NLP), Machine Learning, scikit-learn.

Contributions: Developed the overall system architecture, implemented machine learning models for skill matching, and deployed the application as a web app.

Methodology: Utilized data science and NLP techniques to analyze and extract relevant information from job descriptions and CVs. Trained machine learning models to understand job requirements and match them with student profiles.

Results: Successfully provided personalized career recommendations to users based on their uploaded CVs, enhancing the job search experience for students.