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A.L.I.E

Team

Kishen Mohabir, Dave Patel, Prashanna Kc, Paolo Brancato

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Capstone Project

Overview

The A.L.I.E project was developed as the capstone project for the Humber College Computer Engineering Technology program during Semesters 5 and 6. The project's objective was to create a home automated system that would allow users to control various home appliances such as doors, LED Matrix, and speakers using either a voice-controlled system or a dedicated app. As part of the project, we had to design our own PCB boards to fit the sensors and external devices that would be used in the project. Additionally, an Android app was designed and programmed as part of the Capstone Project in CENG 322 (Software Project) to accompany the home automation system. The app features a user account, the ability to change app settings, control of the LED Matrix, speakers, and door open and close functionality. To control these features, a voice module was incorporated into the hardware, which was selected in CENG 317 (Hardware Production Technology). With the guidance of Professor Austin Tian, we designed a PCB board that incorporated all the necessary hardware and additional headers for future improvements. To ensure communication between the app and the hardware, a Raspberry Pi 4 was used, which received data from the Firebase real-time database system to which the app sent data. Once the data is received from the Firebase system, the Raspberry Pi executes the request, making the sensors function.

Computer Engineering Final Capstone Project (2023) A.L.I.E By: The Second Dawn

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IoT, Artificial Intelligence, Voice Recognition, Home Automation, Wireless, Cloud, Firebase, Python, Android

Project Poster

A.L.I.E Poster

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