Gun detection and Association

This project focuses on weapon detection and association. it doesn't only detect a gun but rather also associate the gun with the suspected owner. From the begining of this project, i started with gathering and annotating datasets and used to train a yolo11 model from ultralytics.

Vehicle speed traching

From the project, i used a pretrained yolov8 model from roboflow to detect vehicle from a high way video scene then used opencv bytetrack to track the vehicles and estimated their speed from the video frame

Bank customer churn

In this project, i performed a data analysis on a bank customer churn data set before going further to model the data using Logistic reggresion, KNN and Decision tree

Image classification

The MNIST data set was used to train a CNN model in this project to classify images of hand written digits

Scikit-learn vs Snap ML