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EdTech Mobile App with ML-Powered Mentor Recommendation System

instinctools.com

Education

Information technology

Educational Engagement and Market Entry Challenges

The client lacked technical expertise and a clear product vision to transform their concept into a functional educational ecosystem. They required assistance in defining requirements, selecting appropriate technologies, and developing a market entry strategy while addressing the need for personalized learning experiences and recruiter integration.

About the Client

Early-stage educational technology company aiming to disrupt traditional learning models through AI-driven mentorship platforms

Core Project Goals

Develop a minimum viable product (MVP) for market validation
Create a machine learning-powered mentor recommendation system
Establish a foundation for a scalable educational ecosystem
Implement gamification elements to enhance user engagement
Design a recruitment integration pathway for talent assessment

System Core Functionalities

Machine learning recommendation engine for mentor-student pairing
Bite-sized learning content management system
Real-time chat and collaboration tools
Gamified reward system with progression tracking
Recruiter access portal for competency assessment

Technology Stack Requirements

Java 11

Python

AWS EKS (Kubernetes)

PostgreSQL 11.5

Docker

Terraform

Ansible

System Integration Needs

AWS cloud infrastructure services (S3, RDS, Cognito)
Third-party authentication APIs
Analytics and monitoring tools
Push notification services

Operational Requirements

High scalability for future ecosystem expansion
Enterprise-grade data security and privacy compliance
Low-latency recommendation engine performance
Cross-platform mobile application compatibility
Robust content delivery network integration

Expected Business Outcomes

Projected 43% increase in student engagement metrics through personalized learning pathways, establishment of a scalable foundation for future educational ecosystem development, and creation of measurable value for recruiters through early-stage candidate assessment capabilities.