Welcome to my Student Portfolio! This document provides an overview of my academic and personal projects, guidelines for navigating the portfolio, and additional information about the purpose and content of each section.
Welcome to my portfolio! Here, I showcase the projects I have completed during my studies and personal learning endeavors. Each project highlights my skills in various areas, such as programming, data analysis, web development, and more.
About Me
A brief section about yourself, your academic background, interests, and goals.
Portfolio Structure
The portfolio is divided into several sections, each focusing on different aspects of my work. Below is an overview of the structure:
Projects: Detailed descriptions of my projects, including technologies used and links.
Projects
Project 1: Fitness Tracker
Description: This project started as a simple fitness tracker and eventually evolved into a comprehensive health tracking application.
Water Tracking: Developed a feature for tracking water intake using a moving bar.
Food Tracker: Implemented a food tracking system that stores user data in local storage and generates a health score by comparing user intake with USDA recommended values. This feature includes pie charts to help users visualize the difference between their intake and recommended values.
Enhanced with ML: Integrated a food.csv dataset from Kaggle connected to an SQLite backend. This enhancement provided ML-based suggestions for fruit and vegetable intake based on user lifestyle.
Expanded Features: The final version of the project included additional trackers for sleep, fitness, and stress, as well as a profile creation feature for personalized tracking.
Technologies Used: JavaScript, HTML, CSS, Local Storage, D3.js (for pie charts), SQLite, Python (for ML algorithms)
Description: This project is a calorie burned calculator developed using the Seaborn library. Initially developed in Jupyter Notebooks, it was later implemented in a model and API form.
Data Processing: Included one-hot encoding, data cleaning (dropping blank data values in the table), training the data, and making predictions.
Backend: Similar to the ML capabilities of the fitness tracker, this project also featured an SQLite backend with GET and POST requests.
Description: This project combined elements from two previous triangle projects. My contribution focused on developing a system for sorting and searching through an array of exercise cards.
Exercise Cards: Implemented a feature for sorting and searching exercise cards based on editable attributes like likes and intensity.
Backend: Utilized an SQLite database for storing and retrieving exercise card data.
Description: This project focused on using the Vuforia SDK for computer vision, enabling the triangulation of the location of a robot on a field using known images.
Vuforia-TensorFlow Integration: Utilized Vuforia as the "Eyes of the robot" to continuously take pictures and send them to TensorFlow, which acts as the "Brain of the robot." TensorFlow, trained to recognize specific objects, compares what it sees in the pictures to what it has learned before during its training, providing a list of rectangle diagonal coordinates of each specific object found.
Mecanum Drive: The project also included a Mecanum Drive component.
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Student Portfolio
Welcome to my Student Portfolio! This document provides an overview of my academic and personal projects, guidelines for navigating the portfolio, and additional information about the purpose and content of each section.
Table of Contents
Introduction
Welcome to my portfolio! Here, I showcase the projects I have completed during my studies and personal learning endeavors. Each project highlights my skills in various areas, such as programming, data analysis, web development, and more.
About Me
A brief section about yourself, your academic background, interests, and goals.
Portfolio Structure
The portfolio is divided into several sections, each focusing on different aspects of my work. Below is an overview of the structure:
Projects
Project 1: Fitness Tracker
food.csvdataset from Kaggle connected to an SQLite backend. This enhancement provided ML-based suggestions for fruit and vegetable intake based on user lifestyle.Project 2: Calorie Burned Calculator
Project 3: Third Trimester Museum Project
Project 4: Vuforia Triangulation
Feel free to customize this template to better fit your portfolio and personal preferences. Happy showcasing!