sayaliwangane/INTELLIGENT-CAREER-GUIDANCE-SYSTEM
Web application for engineering students to predict appropriate job roles using Machine learning and other guidance material like job descriptions, links to courses, etc.
Built on Flask with a scikit-learn classification model trained on job market data, the system analyzes student skills and academic profiles to recommend matching career paths with supporting resources. The backend integrates web scraping for dynamic job description aggregates and course recommendations, while the frontend provides interactive skill-matching visualizations to help students understand role requirements and development gaps.
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PHP
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Last pushed
Jul 29, 2021
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