NucleiScan AI: Advanced AI-powered breast cancer diagnostic platform.
Project information
- Category: Data Science and Machine Learning
- Client: Self-Learning
- Project demo: Visit the site
"NucleiSCan AI" is an advanced AI-powered breast cancer diagnostic platform...
100 Days of Code: The Complete Python Pro Bootcamp
Project information
- Category: Python (Programming Bootcamp)
- Client: Self-Learning
- Project URL: View on Github
"100 Days of Code by Angela Yu" is a structured coding challenge designed to help developers build consistent coding habits and improve their programming skills over 100 days. By completing this challenge, I strengthened my problem-solving abilities, learned new technologies, and built several small projects, showcasing my dedication to continuous learning and self-improvement in software development.
Quiz Star Game on Computer Science
Project information
- Category: Python (Programming Bootcamp)
- Client: Self-Learning
- Project URL: View on Github
"Quiz Star Game" is a Python-based quiz application developed as part of the 100 Days of Code by Angela Yu course. The game tests users' knowledge on various topics by presenting multiple-choice questions and tracking their scores. Through this project, I gained hands-on experience with Python programming, data handling, and user interaction. This project showcases my ability to create functional and interactive applications while solving real-world problems.
Matlab Activities
Project information
- Category: MATLAB (Fundamentals)
- Client: Self-Learning
- Project URL: View on Github
These exercises and examples cover basic MATLAB programming concepts, including syntax, operations, and functions, to help build foundational skills in MATLAB.
Crankshaft and Piston Assemble
Project information
- Category: 3D Modelling (Fusion360)
- Client: Self-Learning
- Project URL: View on GrabCAD
This project features a detailed 3D model of a crankshaft and piston assembly, showcasing the intricate components and their interactions in an internal combustion engine. Designed using Fusion 360, the model highlights the precision engineering of the crankshaft, connecting rods, pistons, and other related parts. It serves as an educational tool, design reference, or simulation asset for understanding the mechanics of engine systems.
3D model of Car wheel
Project information
- Category: 3D Modelling (Fusion360)
- Client: Self-Learning
- Project URL: View on GrabCAD
This 3D model showcases a detailed car wheel design, created using Fusion 360. The wheel is designed to be lightweight yet durable, making it suitable for high-performance vehicles. The model is fully parametric, allowing for easy modifications to suit different vehicle specifications.
3D model of Samsung Galaxy A03s
Project information
- Category: 3D Modelling (Fusion360)
- Client: Self-Learning
- Project URL: View on GrabCAD
This 3D model is a detailed representation of the Samsung Galaxy A03s smartphone. It includes accurate dimensions, key features such as the camera module, screen, and button placements, and is designed for use in product visualization, prototyping, or 3D rendering projects. The model is available in [file format, e.g., STL, STEP, or OBJ] and can be customized or scaled for various applications
COVID-19 Death Analysis
Project information
- Category: Machine Learning (Using Data Science Libraries)
- Client: Self-Learning
- Project URL: View on Github
This project analyzes global COVID-19 death trends using the time_series_covid19_deaths_global.csv dataset from Johns Hopkins University. The goal is to understand how the pandemic impacted different countries over time, identify key trends, and visualize the data to draw meaningful insights. By leveraging Python's powerful data science libraries—Pandas, NumPy, and Matplotlib—the project processes, analyzes, and visualizes the data to uncover patterns and inform decision-making.
Motoval Project
Project information
- Category: Machine Learning (Using Scikit-Learn and Data Science Libraries)
- Client: Self-Learning
- Project URL: View on Github
The car price prediction project leverages machine learning algorithms to estimate the market value of vehicles based on features like make, model, year, mileage, and more. By training a regression model on historical car data, the project provides accurate predictions for car prices, aiding buyers, sellers, and dealerships in making informed decisions.
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