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Bernard Jezua

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November - December 2023Role: Backend Developer

QSPS: Quadratic Spline and Polynomial Solver

An R Shiny application designed for math and science researchers to perform quadratic spline interpolation and polynomial regression modeling with elegant visualizations.

Project Overview

QSPS is a mathematical modeling web application designed for students and researchers. It allows users to input custom dataset coordinates and instantly compute both quadratic spline curves and polynomial regression equations.

The app outputs system equations, calculates step-by-step spline matrix solutions, and renders interactive graphs. The frontend is built on R Shiny, heavily customized with custom CSS rules to depart from default bootstrap structures and provide a premium, modern dark mode look.

It makes numerical analysis accessible through interactive inputs, polynomial degree adjustments, and simple CSV data upload options.

Key Highlights

Quadratic spline calculation with full piecewise equations output
CSV dataset import and calculation logs export
Adjustable polynomial regression solver

Tech Stack

R
R Shiny
CSS
Numerical Analysis

Project Demo

View Codebase

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