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SailorGirl1234/README.md

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Hi, I'm Carolyn.

I am an ex-professional super-yacht sailor, on a new adventure - launching a new career as a developer!

After more than 12 years at sea, I became fully versed in all things sailing within the Super Yacht industry. I worked onboard both the largest sailing yacht in the world and the largest sailing catamaran as Officer and the onboard sailing expert. During my time working at sea I progressed through the ranks, gaining the highest certification available - the illustrious 'Master 3000'.

While working onboard one extremly large yacht, with a semi-automated sailing system, I became increasingly facinated with the programming and logic behind the automation. So much so that I have decided to take the leap, move back to land and dive into a diferent and new world - striving to become a professional software engineer!

Python JavaScript Kotlin C Java Arduino Django React Flask SQLite SASS Git Visual Studio Code IntelliJ IDEA

Top Langs

Codewars Stats

Over the past 18+ months I have immersed myself within Harvard's CS50 courses, completing CS50x, CS50's Web development with Python and Javascript, and most recently CS50's AI with Python.

I am now looking to join a team with a real purpose to progress in my developing career.

Check out some of my projects

Due to Harvard's Academic Honesty Policy, most of my projects are in private repositories. If you would like to take a look, just let me know!

QUESTIONS - Question Answering AI

Python Python

Video demonstration - Ask to view repository

A natural language processing, question answering system, which retrieves the most relevant passage from a selection of documents in reply to a user asked question.

Document processing using tf-idf. Passage scoring using a combination of inverse document frequency and a query term density measure.

Question Answering AI

TRAFFIC - A Neural Network AI to identify which traffic sign appears in a photograph

Python TensorFlow NumPy scikit-learn

Video demonstration - Ask to view repository

I used TensorFlow to build a neural network to classify road signs based on an image of those signs. I used the labeled dataset: German Traffic Sign Recognition Benchmark (GTSRB), which contains thousands of images of 43 different kinds of road signs.

German Traffic Sign Recognition Benchmark examples

By combining various layers and filters I was able to create a neural network that's models showed consistantly reliable accuracy of around 0.985 with a loss of around 0.05.

Traffic

CAPSTONE - Car Hire Web-App

Python JavaScript Django React SQLite Bootstrap HTML5 SASS

View repository - Video demonstration

A single page responsive web app, designed using React/Javascript front end and Django/Python/SQLite back end. It is a car hire booking system, that checks the availability and handles the booking of cars within a fleet, distributed across several locations.

capstone

VR Polars - Virtual sailing aid

Python JavaScript Flask SQLite Bootstrap Jinja HTML5 CSS3 Pandas Plotly Leaflet

View repository - Video demonstration

VR Polars is designed to be used as a reference tool whilst playing the Virtual Regatta Offshore sailing racing game. It shows the user what boat speed is expected, and which sail is best to use, given a certain wind speed and direction.

VRpolars1

Made with Python, Flask, Javascript, SQLite, HTML5 and CSS. Incorporating Plotty, Pandas, Jinja2, Bootstrap4 and Leaflet

VRpolars2

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  1. CAPSTONE-CarHire CAPSTONE-CarHire Public

    CAPSTONE-CarHire is a car hire booking system and web app, that checks the availability and handles the booking of cars within a fleet, distributed across several locations.

    JavaScript

  2. VR-Polars VR-Polars Public

    Used as a reference tool for the Virtual Regatta racing game. Displays expected boat speed and best sail choice, using a given wind speed and direction, or location and heading.

    HTML 3 1