Developed an end-to-end MLOps pipeline and custom Chrome Extension for real-time YouTube sentiment analysis, achieving 79.12% accuracy using a LightGBM model deployed on AWS EC2 with automated CI/CD.
Engineered an end-to-end deep learning pipeline to classify 43 German traffic signs (GTSRB) with 98.73% accuracy, deployed via a Streamlit dashboard for real-time inference and performance monitoring.
Built an end-to-end hybrid movie recommendation system using User-Based CF, Item-Based CF, and SVD on 1,682 movies and 943 users, achieving 32.8% Precision@10 and 0.39 NDCG, with real-time TMDb API…
