Built an end-to-end e-commerce recommendation system with Flask, using content-based and collaborative filtering techniques. Enhanced product discovery and user engagement significantly.

This project demonstrates text clustering using SBERT embeddings. Includes text preprocessing, K-Means and DBSCAN clustering, and visualization of clusters. See scripts/ for detailed implementation.

Clustering text data using BERT embeddings with AG News dataset from Hugging Face. Includes scripts for generating, preprocessing, and saving embeddings for advanced clustering and analysis tasks.