Track The Feedback is a scraper/analyzer data pipeline. It extracts new feeds from social media with the given tags and transforms them into a data frame format using pandas. Additionally, the sentiment of the post's captions (limited to English for now) is analyzed by a custom pre-trained BERT model. Also, product's© logos are detected by fine-tuned Inception_v3 logo detector model. The transformed and analyzed data then loads into an AWS RDS server on a PostgreSQL database. Finally, a Metabase dashboard (setup on AWS EC2) is created for exploratory data analysis and visualization. The ETL job of the data pipeline and deployment of the models are docker containerized due to various dependencies of each step.