Case Study

Meraki — AI-Powered Language Learning Platform for Kids

An interactive web platform that helps children learn languages through engaging lessons, AI pronunciation evaluation, and progress tracking for parents and teachers.

Meraki

Education Technology

The Problem

Create a fun and effective language-learning experience for children, combining speech recognition, gamification, and real-time feedback — all while maintaining cross-browser stability and a secure CI/CD pipeline.

Our Solution

We developed an AI-driven learning ecosystem using a Laravel backend, React front-end, and a Python microservice for pronunciation scoring. The system supports audio exercises, real-time evaluation, and dashboards for students, parents, and teachers. Infrastructure was containerized, secured via Nginx and Cloudflare, and deployed with full observability on DigitalOcean.

The Impact

Seamless AI pronunciation evaluation integrated into learning activities

Interactive lessons and voice exercises optimized for children

Parent dashboards with performance insights and notifications

Automated builds and zero-downtime deployments

Scalable architecture ready for future growth

Key Features

Students: structured lessons, voice repetition exercises, and gamified progress tracking

Parents: detailed progress dashboards, activity alerts, and motivation tools

Teachers: classroom management, performance reviews, and audio feedback

Admins: content and user management, analytics, and system configuration

Voice AI: pronunciation scoring, accuracy feedback, and speech analytics

Challenges

Ensuring consistent audio capture across mobile browsers

Handling noise and accent variation in pronunciation scoring

Delivering safe, zero-downtime deployments

Managing CORS and secure media permissions in multi-device environments

Lessons Learned

Establish measurable latency and accuracy goals for AI features

Validate voice capture quality early in the design phase

Prioritize observability and reproducibility in deployment scripts

Engage real users early to refine evaluation feedback

Our Process

Discover

2 weeks

Stakeholder interviews and learning objectives

Target user and device analysis

Speech evaluation requirements

Scope

4 weeks

System architecture and service boundaries

API contracts and data flow mapping

Gamification logic and user journey design

Build

14 weeks

Core learning modules and AI evaluation API

Frontend and audio interaction logic

CI/CD automation and infrastructure setup

Launch

2 weeks

Operational monitoring and runbooks

Load and security testing

Production rollout with rollback safety

Evolve

ongoing

Continuous feedback integration

Model refinement and speech benchmark updates

User experience improvements and feature expansion

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