Hybrid Product Recommendation System using TF-IDF, Cosine Similarity and Streamlit
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Updated
Jun 11, 2026 - Jupyter Notebook
Hybrid Product Recommendation System using TF-IDF, Cosine Similarity and Streamlit
End-to-end Twitter sentiment analysis using NLP and Logistic Regression on the Sentiment140 dataset, including text preprocessing, TF-IDF vectorization, model training, evaluation, and persistence.
Developed an Enterprise AI-powered ATS Resume Screening & Recruiter Intelligence Platform using Python, NLP, TF-IDF, cosine similarity, Streamlit, and Machine Learning to automate resume analysis, candidate ranking, hiring analytics, career guidance, and recruiter decision-making workflows.
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