Document_Clustering_FlaskRestFul_API

Text Classifier uses Streamlit for the UI, SQLite to store training documents, TF-IDF (scikit-learn) to convert text into numerical features, and Multinomial Naive Bayes to predict categories. User inputs text, the model classifies it into one of 9 categories (Technology, Sports, Health, etc.) and displays confidence scores