This project focuses on real-time object detection and tracking using the Faster R-CNN model, emphasizing accuracy over speed. It utilizes the COCO 2017 dataset for training, which contains diverse and complex images. The Faster R-CNN model is integrated with FiftyOne for visualizing predictions and ground truth annotations. A custom CentroidTracke

A machine learning project using RNN and LSTM to classify tweets into positive, neutral, and negative sentiments. Includes data preprocessing, model training, and deployment for public access.