WhizCloud
Case study · Chapter 01
AI & Intelligent Systems

Automating question generation and answer evaluation for smarter classrooms.

An AI-powered education platform that helps teachers generate question papers from study materials and evaluate handwritten answers — using Next.js, NestJS, Ollama, and ChromaDB to cut prep time and speed up grading.

Chapter 02
The challenge

Exam prep and grading no longer scaled with class size.

Teachers spent hours writing papers and marking handwritten answers by hand — work that was repetitive, inconsistent, and increasingly unsustainable as student numbers grew.

01

Slow question paper creation

Building balanced papers from study material took 4–6 hours per subject.

02

Manual handwritten grading

Evaluating written answers was tedious, delayed feedback, and invited inconsistency.

03

Weak EdTech support for handwriting

Existing tools rarely handled handwritten submissions with teacher override.

04

No class-level analytics

Institutions lacked clear reporting across students, subjects, and performance trends.

Chapter 03
Project Context

Client

EdTech innovation client

Industry

Education & EdTech

Integrations

Ollama · ChromaDB · OAuth

Engagement

10-week paid client project

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