hariharan1412/NLP-Job-Recommendation
Job recommendation system using NLP, in which a user’s description is evaluated via a trained NLP model and jobs are suggested based on the similarities between the user’s skill set and the job’s required skill set. Jobs are scraped from various trustworthy sites in real time using Selenium and stored in a database.
The system uses Flask as a web framework with an HTML/CSS/JS frontend, and implements skill extraction and matching via cosine similarity between TF-IDF vectorized user profiles and job postings. Real-time scraping pipelines integrate with multiple job boards, persisting structured data to enable fast retrieval and ranking of candidate positions based on computed skill overlap scores.
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Stars
20
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8
Language
Python
License
MIT
Category
Last pushed
Nov 25, 2022
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