Elinra

EduNet: AI Learning Platform

A personalized learning environment using NLP for adaptive tutoring across STEM subjects.

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Project Summary

Client

K-12 Education Technology Provider

Duration

9 months

Solution

Personalized adaptive tutoring

Education Platform Challenge

The Challenge

Traditional educational platforms lack personalization, resulting in inconsistent student engagement and performance across STEM subjects.

  • Inability to scale one-on-one instruction
  • Limited adaptive assessments
  • Static learning paths
Education Platform Solution

The Solution

We implemented an NLP-driven platform with dynamic learning paths that adapt to each student's progress and learning style in real-time.

Intelligent Tutoring

AI-generated explanations and adaptive quizzes

Progressive Learning

Automatic difficulty level adjustments

Multi-Subject Hub

Integrated STEM modules with interactive lessons

Gamification System

Performance-based rewards and badges

Core Technologies

Python

Python

NLP and ML backend

React

React

Frontend framework for interactive UI

TensorFlow

TensorFlow

ML model training and deployment

AWS

AWS

Scalable cloud infrastructure

Impact

350%

Increase in student engagement

92%

Higher knowledge retention

400K+

Students trained

Core Team

Dr. Aisha Patel

Dr. Aisha Patel

NLP Lead

Expert in machine learning for adaptive education

Marcus Green

Marcus Green

Full Stack Developer

Specializing in web app architecture

Sophia Lee

Sophia Lee

UX Designer

Designing intuitive learning interfaces

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