A Real-Time Object Detection Model Uses YOLOv8 and SuperVision for tracking CCTV footage.

A model to classify disaster-related tweets from normal ones. used an Embedding layer, an LSTM layer, and an output layer for binary classification.

Fraud Detection machine learning model utilizes the "DecisionTreeClassifier" to identify fraudulent activities on an online payment app.

The project's main objective was to classify facial expressions using pre-trained models like VGG16 and EfficientNetB2.

A football player detection and classification using YOLOv8 and RoboFlow for data creation