This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.
updated at April 23, 2024, 11:10 a.m.
This project presents a Python-based spam detector program that utilizes the Naive Bayes approach to classify emails as either spam or ham. The system is designed to accurately and efficiently identify spam messages, providing a useful tool for individuals and organizations seeking to manage their email inboxes more effectively.
updated at April 29, 2024, 12:04 p.m.
In this project, the Pacman agent will find paths through his maze world, both to reach a particular location and to collect food efficiently. I implemented general search algorithms such as depth-first, breadth-first, uniform cost, and A* search algorithms which are used to solve navigation problems in the Pacman world.
updated at May 1, 2024, 1:30 a.m.