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EducatAR

Dissemination of Conceptualized Information using Augmented Reality and Image Processing
Team Members
Hrushikesh Ingale, Surhud Khataokar, Varad Apte, Avani Mehta, Prof. T. D. Khadtare

Overview

Problem

Traditional learning methods can be limiting, making it harder for students to grasp complex concepts through static images and text.​

Solution

​EducatAR — a mobile app that brings textbook images to life with interactive 3D models using Augmented Reality (AR).​

Key Features

Image Recognition

Built-in camera scans textbook images.

3D Model Retrieval

CNN processes the image and fetches the corresponding model from the cloud.​

Immersive Interaction

Students can rotate, zoom, and explore 3D models for better conceptual clarity.

Tech Stack

For AR development

Vuforia, Unity, Blender

Image Processing

Convolutional Neural Networks (CNNs), Tensorflow, Python

To host and manage 3D assets

Google Cloud Services

Impact

Enhances student engagement, making learning more intuitive and interactive.

Vision

To revolutionize education by bridging the gap between theory and visualization through AR-powered learning.

Logic

EducatAR State Diagram.png
Data Flow Diagram.png
System Architecture.png

Detailed Tech Stack

Front End

  • Unity Engine

  • Blender

  • Android Studio

  • Lottie

Machine Learning

  • Python

  • Convolutional Neural Networks (CNNs)

  • Tensorflow

  • ImageNet

  • MobileNet v1

Back End

  • Vuforia SDK

  • SQL

  • NoSQL 

  • Firebase Cloud Services

  • YouTube API

Prototype

Note: Most of the libraries used were discontinued. The only proof of prototype are the following screenshots.

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© 2024 Hrushikesh Ingale, All Rights Reserved.

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