Project Case Study by Moses Adebayo
Book Analyzer
A full-stack web application that transforms any PDF novel into a rich literary experience. Users upload a book and an AI pipeline runs in parallel to generate a detailed summary, chapter-by-chapter scene map, character dossiers, painted portraits, and cinematic scene videos — all private to their account. Built with: React, Vite, TanStack Query, Express, PostgreSQL, Drizzle ORM, and Clerk for authentication. AI features are powered by Google Vertex AI (Gemini 2.5 Flash for analysis, Imagen 3 for portraits, Veo 3 for video generation) and Google Document AI for PDF extraction.

Published
May 19, 2026
Stack Size
5 technologies
Visual Stack
This project combines product thinking, technical execution, and a clear user-facing outcome. The build balances interface clarity, implementation speed, and room for future growth.
Responsive design
Authentication and role-based access
Real-time updates
Mobile-friendly experience
API-driven architecture
Node.js
Backend
Git
DevOps
Google Cloud
DevOps
Express
Backend
REST APIs
Backend
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