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Development of an eLearning Mobile Application for Medical Postgraduate Entrance Exam Preparation

intuz.com

Education

Information Technology

Medical

Challenges in Digital Medical Exam Preparation

Existing medical exam preparation methods rely heavily on physical books and fragmented digital resources. Aspirants face difficulties in accessing comprehensive, image-based learning materials and real-time practice tools that simulate actual exam environments. Traditional platforms lack engaging UI/UX designs tailored for mobile-first learning.

About the Client

An eLearning platform provider specializing in medical education and postgraduate entrance exam preparation

Key Project Goals

Create a mobile-first platform for anytime/anywhere medical exam preparation
Develop a comprehensive question bank with MCQs, image-based questions, and detailed explanations
Implement an intuitive UI/UX design that surpasses traditional learning mediums
Enable seamless content updates and scalability for future medical exam domains

Core System Requirements

Extensive MCQ database with topic-wise categorization
Image-based question integration with zoom/pan capabilities
Real-time performance tracking and analytics
Offline study mode with downloadable content packs
Subscription-based access management
Interactive explanation portal with reference citations

Technology Stack

Android

iOS

Node.js

MySQL

System Integrations

Video streaming API integration
Payment gateway for subscription management
Cloud storage for media assets
Push notification service

Non-Functional Requirements

High-performance content delivery for multimedia assets
Cross-platform UI consistency
Data security for user progress tracking
Scalable architecture for question bank expansion
Low-bandwidth optimization for rural access

Anticipated Business Impact

The platform will establish a new digital standard for medical entrance exam preparation, increasing market reach by 300% through mobile adoption. Enhanced user engagement metrics (expected 40% longer session times) will improve knowledge retention rates. Subscription-based revenue model is projected to generate $2M+ annual recurring revenue within three years of deployment.