YouTube video bots have been constantly generating bot videos and posting them on the YouTube platform. While these bot-generated videos negatively influence the YouTube audience, they cost YouTube extra resources to host. The goal for this project is to build a classifier that identifies bot-generated channels based on a deep learning-based framework. We designed the framework to take text, audio, and video features into account. For the purpose of this thesis project, we will be focusing on text classification work.

Theft as well as burglary rates have remained high all across the world. These thefts involve stealing expensive objects like cars, or breaking into homes and stealing televisions, or going to malls and shoplifting. Aside from these kinds of crimes, theft involving personal items like backpacks, laptops, or mobile devices is just as important. Travelers and students can be subjected to these kinds of thefts easily and unnoticeably. According to a report from Kensington IT, an estimated one laptop is stolen every 53 seconds, 70 million smartphones are lost each year, and 52% of devices are stolen from the office/workplaces with 24% from conferences. One way to protect these items is to use a security device to ensure greater safety. The iMovedAlarm is an affordable sensor alarm that notifies people when their belongings are being stolen while also deterring thieves from stealing those belongings. The iMovedAlarm is a module that consists of a sound alarm, an LED light, and sensor technologies that activate when an object leaves the vicinity of the owner. When a thief attempts to steal the object, the iMovedAlarm will know to sound a buzzer alarm, flash an array of LED lights, and send alerts to a user's smartphone or wearable devices. This can help deter a thief from continuing the crime as those around him or her will have a better notice of what is happening. In addition, if the thief continues on with stealing the item, the iMovedAlarm can be tracked with the user's smartphone so that the location of the items can be found. The iMovedAlarm utilizes Arduino technology to make the device even more user-friendly.