AI-Powered PDF Question Extraction & Automation System
I developed an n8n automation workflow that extracts objective questions from PDF documents using Google Gemini AI. It automatically identifies questions, multiple-choice options (A–D), and correct answers, then organizes everything neatly in Google Sheets.
The system can be adapted for WAEC, JAMB, school exams, quizzes, past questions, and other educational materials containing questions. It reduces manual data entry, saves time, and makes question management easier.
Technologies: n8n, Google Gemini AI, Google Sheets, PDF Extraction.
A closer look at ROVR, a landing page concept for an autonomous delivery robot.
A robot at your door is new for most people, so every section answers a question a first time customer would ask: how it gets here, what it can carry, what it costs and what happens if it gets stuck.
Our favorite part is the FAQ, rebuilt as a chat where you can ask ROVR anything.
What would you want to know before a robot delivers your groceries?
Love the idea of turning the FAQ into a conversation. My first question would be: what happens when the robot encounters something unexpected mid-delivery? Showing how ROVR handles those moments could build more trust than any feature list.
Real estate client for Mumbai - Ran Facebook Ads for luxury flats. Generated 89 qualified leads in 28 days, closed 3 deals worth 1.2Cr revenue at $3.45 CPL.
The dashboard view makes the funnel easy to follow. For luxury flats, which creative angle pulled the cheapest leads: lifestyle shots or the location and price hook?