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Product Case Study

HelixLabs

Interactive STEM & AI Learning Platform

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#EdTech#AI#STEM#Product
22 AI-powered virtual labs bridging theoretical science and practical experimentation.

01 · Overview

HelixLabs is an interactive STEM virtual lab platform designed for B2B educational institutions and B2C individual learners. It brings complex scientific experiments to life through interactive visual simulations and AI-assisted experiment guides.

02 · The Problem

Schools and self-directed students frequently lack access to expensive laboratory hardware, reagents, and specialized AI demonstration tools, limiting practical STEM learning.

03 · The Idea

Create 22 distinct, interactive digital lab modules where learners can manipulate variables, observe immediate physical and chemical reactions, and receive instant guidance from an AI tutor.

04 · Functional Requirements

Interactive visual simulation controls for 22 specific STEM experiment modules
Support both B2B institutional lab access and B2C self-paced learning subscriptions
Integrated AI tutor assistant to explain underlying mathematical and scientific principles

05 · Suite of 22 STEM Labs

Full inventory of 22 interactive AI-powered simulation modules built for Physics, Chemistry, Math, and AI.

Physics Labs (6 Modules)

  • Pendulum Motion & Gravity Dynamics
  • Wave Interference & Superposition
  • Circuit Builder & Ohm’s Law
  • Projectile Motion & Velocity Vectors
  • Optics & Lens Refraction
  • Thermodynamics & Heat Transfer

Chemistry Labs (5 Modules)

  • Acid-Base Titration & pH Curve Simulator
  • Molecular Geometry 3D Builder
  • Chemical Reaction Rate & Catalyst Dynamics
  • Periodic Table & Electron Configuration
  • Gas Laws (Boyle & Charles) Chamber

Mathematics Labs (5 Modules)

  • Calculus Derivative & Integral Visualizer
  • Matrix Transformation Grid
  • Probability & Monte Carlo Distribution
  • Vector Space & 3D Geometry
  • Trigonometric Function Wave Generator

AI & Computer Science Labs (6 Modules)

  • Neural Network Weights Visualizer
  • Decision Tree Classifier Simulator
  • Gradient Descent Optimization Path
  • Natural Language Tokenizer Workbench
  • Computer Vision Edge Detection Lab
  • Reinforcement Learning Grid World

06 · Technology Stack & Architecture

Next.js & React Canvas/SVG rendering engines
Tailwind CSS for UI framing
AI integration for instant step-by-step experiment explanations

07 · Delivery & Outcome

Fully realized 22-lab STEM educational platform showcasing complex product planning and functional software execution.

Role & Scope

Product Architect & Lead Builder — Requirements gathering, simulation logic design, content structuring, and platform deployment.

Deployed Application

Live at www.helixlabs.pro

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