AI-Powered EdTech Platform

Examguruz

Examguruz was built to solve a real problem — SAT preparation is expensive, impersonal, and overwhelming for most students. The platform uses OpenAI's API to generate adaptive practice questions across all SAT sections, giving students a focused, AI-driven study experience that adjusts to their skill level. With dedicated Study and Practice modes, students can learn at their own pace and test themselves under realistic conditions — all from a single web app.

Client

Smart Tech

Industry

EdTech & AI

Scope of work

Full-Stack Development

AI Integration

Cloud Deployment

Problem

Traditional SAT prep relies on static question banks that don't adapt to a student's actual weaknesses. Students either spend hours on topics they've already mastered or skip over areas they struggle with — resulting in wasted time and inconsistent scores. Existing platforms are often subscription-heavy, rigid in structure, and lack intelligent feedback beyond "correct" or "incorrect." There was a clear gap for a lightweight, AI-powered tool that could generate fresh, targeted questions on demand and provide meaningful, topic-specific feedback in real time.

Challange

The core engineering challenge was building a reliable AI question generation pipeline that consistently produces exam-quality content across four SAT domains — Reading, Writing & Language, Math (No Calculator), and Math (Calculator). Each question needed to be contextually accurate, appropriately difficulty-graded, and formatted with plausible distractors. On the infrastructure side, the platform had to support concurrent users with low latency while managing OpenAI API rate limits and token costs efficiently. Designing a seamless UX that separated Study Mode (learn with explanations) from Practice Mode (timed simulation) without overwhelming the interface added another layer of complexity.

Solution

The solution was a full-stack web application built with Angular on the frontend and Node.js + Express.js on the backend, backed by MongoDB for persistent storage of user progress, question history, and performance analytics. Key technical decisions: → OpenAI API integration with structured prompt engineering to generate SAT-standard questions by topic, difficulty, and format — with built-in validation to filter low-quality outputs before serving them to students. → Two distinct modes — Study Mode delivers questions with instant explanations and topic breakdowns, while Practice Mode simulates real SAT conditions with timed sections and score summaries. → Dockerized deployment on AWS for consistent environments across development and production, with CI/CD via GitHub Actions for automated testing and deployment. → JWT-based authentication and session management for secure, personalized user experiences. → Performance tracking dashboard that surfaces weak areas, completion rates, and score trends — giving students a clear picture of where to focus next. The result is a clean, fast, AI-powered SAT prep tool that delivers fresh, adaptive questions on demand — helping students study smarter, not harder.

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