Product Case Study

Last Mile Prep

AI-Assisted Government Exam Preparation Platform

#EdTech#AI#Personalisation#Product

“Targeted exam preparation driven by personalized learning workflows and AI diagnostic feedback.”

01 · Overview

Last Mile Prep was built to streamline preparation for competitive public sector and government examinations. It replaces generic question banks with adaptive diagnostic workflows and personalized review schedules.

02 · The Problem

Aspirants waste hundreds of hours re-studying topics they have already mastered because existing prep platforms lack granular weakness tracking and personalized revision algorithms.

03 · The Idea

Engineer a prep environment that dynamically identifies topic-level accuracy, tracks timing per question, and generates targeted "last mile" practice sets focused exclusively on high-yield improvement areas.

04 · Functional Requirements

Syllabus & topic hierarchy mapping for competitive exam patterns

Granular score analytics tracking time-per-question and confidence rating

AI-assisted question explanations and customized study plan generation

05 · Technology Stack & Architecture

Next.js (App Router), TypeScript, Tailwind CSS

PostgreSQL database for attempt analytics

AI API integrations for contextual explanation generation

06 · Delivery & Outcome

Proven exam preparation engine demonstrating user-centered product design, data analytics, and AI integration.

Role & Scope

Product Lead & System Designer — PRD creation, exam syllabus mapping, AI workflow integration, and platform release.

Deployed Application

Live at lastmileprep.vercel.app

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