Case Study — EduTech · AI · Adaptive Learning

School OS +
IELTS AI Suite

Comprehensive school management platform plus AI-powered IELTS preparation with adaptive tests, Claude API speaking feedback, and per-student gap analysis.

SYSTEM_ARCHITECTURE_V2.4

NODE_SECURE

2-in-1

School + IELTS Platform

Adaptive

Learning Engine

Claude API

Speaking Feedback

Mobile

iOS + Android App

School OS

→Admissions & enrollment management
→Timetable builder with teacher assignment
→Daily attendance (RFID + manual)
→Exam management and result publishing
→Fee collection and defaulter tracking
→Parent portal with real-time updates
→Staff HR and payroll module
→Transport route management

IELTS AI Suite

→Adaptive mock tests across all 4 sections
→Claude API speaking evaluation (fluency, coherence, grammar)
→Writing task scoring with detailed feedback
→Predicted band score with confidence range
→Personalised weak-area study plans
→1000+ question bank with difficulty tagging
→Progress tracking over time
→WhatsApp study reminder bot

CASE STUDY 05 · EDUCATION AI

🎓

AI SCHOOL-OS · WEB + MOBILE · .NET CORE + MAUI + BLAZOR

The AI-Powered
School of the Future.
Built Today.

A comprehensive school management ecosystem — web admin, teacher tools, student portal, and parent mobile app — unified by AI that automates attendance, predicts performance, and personalises learning at scale.

78%

Improvement in student completion rates for assigned coursework

92%

Reduction in manual attendance tracking time per teacher

60%

Faster fee collection cycle with AI payment reminders

4.9★

App store rating across parent and teacher mobile apps

The Problem

Schools Running on WhatsApp Groups and Paper Registers

A chain of 8 private schools — 12,000 students, 400 teachers — was managing everything manually: paper attendance registers, WhatsApp for parent communication, Excel for fee tracking, and printed report cards. Teachers spent 40% of non-teaching time on administration.

Learning was one-size-fits-all. Struggling students weren't identified until exam results — too late to intervene. Parents had zero real-time visibility into their child's school life.

❌

BEFORE: Paper attendance, WhatsApp notices, Excel fee sheets, printed report cards, zero parent visibility, no early warning for struggling students

✅

AFTER: One-tap digital attendance, instant parent push notifications, automated fee collection, AI-generated reports, and real-time student performance monitoring

🖥

Blazor Web Admin Portal

Full school management system — student records, staff HR, timetable builder, fee management, exam scheduling, and reports. Built on .NET Core + Blazor for speed and reliability.

📱

MAUI Cross-Platform Mobile App

Single codebase for iOS + Android. Parents receive real-time attendance alerts, homework assignments, fee dues, exam schedules, and can message teachers directly. Teachers mark attendance in 30 seconds per class.

🧠

AI Performance Predictor

ML model trained on historical attendance, assessment scores, and submission patterns flags at-risk students 4–6 weeks before exams. Teachers receive personalised intervention suggestions per student.

📚

Personalised Learning Module

AI generates differentiated homework and reading recommendations based on each student's learning profile. Struggling learners get scaffolded tasks; advanced students get enrichment content automatically.

💰

Automated Fee & Finance

Online fee collection with Razorpay/Paytm integration. AI payment reminders sent via SMS and push notifications 7 days, 3 days, and 1 day before due date. Defaulter reports auto-generated monthly.

🌐

.NET Core WebAPI Backend

Secure, scalable RESTful API serving web, mobile, and third-party integrations. Multi-tenant architecture supports all 8 school branches from a single deployment with full data isolation per school.

Technology Stack

⚡

.NET Core 8

🔷

Blazor WASM

📱

.NET MAUI

🔌

WebAPI + SignalR

🗄

SQL Server 2022

☁️