AI Resume Screening & Ranking System 🚀 A Streamlit-based web app that uses NLP and Machine Learning to analyze and rank resumes based on job descriptions. Features PDF uploads, TF-IDF vectorization, Cosine Similarity for ranking, and detailed analytics. Built with Python, NLTK, scikit-learn, and PyPDF2.
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Assistant checkpoint: Configure Streamlit server settings
f2b0dc5View on GitHubAssistant checkpoint: Reorganize main.py for better readability
872a08dView on GitHubRestored to 'e73c662e474718e9430551f50bb67c7cb46291e4'
0af06e6View on GitHubCheckpoint before revert - Build the initial prototype
3550e27View on GitHubAgent query: Could you check if the UI is better now with instructions at the bottom and a more prominent sample job description button? Also, verify if all the functionality works correctly.
e73c662View on GitHubAgent query: Could you check if the UI looks better now with the new styling, instructions section, and visual improvements? Also, verify if all the functionality still works correctly.
6a47af0View on GitHubAgent query: Could you check if the new 'Process Resumes' button appears after uploading files, and if clicking it correctly processes and displays the results?
b9c18c7View on GitHubAgent query: Could you try uploading a resume file (PDF or DOCX) and check if it's being processed correctly now?
f640921View on GitHubAgent query: Could you check if the app now shows the advanced scoring features including skills matching, education level, and experience scores? Also, verify if the matched and missing skills are displayed correctly.
0f4cec4View on GitHubAgent query: Could you check if the app now accepts PDF, DOC, and DOCX files? Can you try uploading different file formats to verify they work?
3784af1View on GitHubAgent query: Could you check if the app loads correctly now and if you can use the 'Load Sample Job Description' button without any NLTK errors?
84732ffView on GitHubRestored to '871eec50d01d6832adeb66525dea15d5bb305a6a'
5d74046View on GitHubCheckpoint before revert - Build the initial prototype
a6aae7dView on GitHub