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EdTech

TrainX

AI-personalized adaptive learning platform enhancing corporate training completion rates.

VCCase Analysis by Vikrant Chauhan
Published:
TrainX

About Project

TrainX transforms boring corporate training pathways into interactive learning journeys. The platform analyzes individual progress and dynamically adjusts module difficulty, maintaining engagement.

The Challenge

Enterprise compliance training programs suffered from low engagement and completion rates, with employees finding traditional linear paths repetitive.

The Solution

We designed an adaptive recommendation engine that maps training content to employee knowledge gaps, dynamically modifying module recommendations.

Key Features

🎯

Adaptive Pathways

Recommends modules dynamically based on historical assessment performance.

🎮

Gamified Goals

Leaderboards, reward badges, and progress milestones to encourage completions.

📈

Manager Insights

Interactive analytics showing team skills progression and compliance audits.

💡

Interactive Quizzes

AI-generated quiz questions that test conceptual understanding.

Development Process

Step 01

User Research

Interviewed corporate learners to identify friction points in training portals.

Step 02

Engine Build

Developed the content recommendation rules based on cognitive assessment scoring.

Step 03

Interface Design

Designed a clean, minimalist card UI matching current product style guidelines.

Step 04

Launch

Rolled out pilot system to 500 active employees with metric feedback loops.

Results & Impact

+35%
Completion Rate Boost
4.8/5
User Satisfaction
2.4h
Saved Per Module

Our training compliance rates jumped immediately. Employees actually enjoy using the adaptive learning tracks.

VP Human Resources
Global Logistics Corp

Project Details

ClientEduEnterprise Corp
IndustryEdTech
Project TypeAdaptive Learning Platform
Duration4 Months
RoleLead Product Architect
Year2025

Technology Stack

Frontend

Next.jsReactTailwind CSS

Backend

Node.jsServerless API

Database

SupabasePostgreSQL

AI

Adaptive Recommendation Engine
Work Showcase

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