David Pace's repositories

ECommerce

We propose to build an ecommerce website where a person can sell any type of product they want. From the customer’s side, they will be able to add products to their cart and pay using PayPal’s callback request API. They also can create multiple carts and wish lists and add products to them. Administrators will be able to add and remove products to the store and categorize them. Ideally, the admin will also be capable of interfacing with major online marketplaces, so that their products can be added, removed, and managed from our frontend for these online markets. By doing this, the administrator can easily manage their products in one location but still have the advantage of large amounts of traffic.

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ArchiveForensicTool

https://www.youtube.com/watch?v=SA7FeB5xKbo

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auto_attendance

This script is designed to automatically take roll on moodle for software engineering, and start zoom after. Made public, with the professors blessing, for the class to use.

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Computational-Physics

Python implementation for the exercises in computational physics by Girodano. These scripts calculate and plot curves with graphical figures designed to model modern physic problems.

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MobileAppTeamProject

This mobile app currently implements the coco-ssd object detection model using tensorflow in the react native expo environment. It processes live camera data from the device and draws predictions onto the screen via an overlaying canvas.

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SEteam-Project

Software development group project - Contains a server and client, sqlite user database with password hashing, and a login and chatbox GUI.

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SQLDatabases

Group project aimed at designing the databases for a job finder based off their skills and previous work experience. The goal of this project was to demonstrate a working understanding of Oracle's Database Management System, formulate several queries using SQL/PLSQL, and normalize/structure relational databases.

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FAT32-analyzer

For FAT32 filesystem analyzation and file recovery

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MIPS_asm

MIPS assembly course - contains industry standard sorting algorithms that are implemented in assembly using the MIPS computing architecture.

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sample_api

basic express/react app

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