How to use Machine Learning to answer questions based on PDF content

4 min readJun 28, 2023

Introduction

With the rapid advancement of machine learning and natural language processing, extracting information and answering questions from textual data has become a crucial task. In this blog post, we will explore how to utilize TensorFlow.js, a JavaScript library for machine learning, to answer questions from PDF content. TensorFlow.js enables us to leverage the power of deep learning models in the browser, making it a convenient choice for web-based applications that involve text analysis.

This will be a very simple, browser app with no fancy stylings. Just to demonstrate the power of the technologies.

Prerequisites

All we need is good understanding of HTML and JavaScript. It would be a bonus if you had familiarity with machine learning concepts, particularly natural language processing (NLP) and deep learning - but not necessary.

Step 1: Setting Up the HTML

To begin, create a new directory for your project and navigate to it using the command line. Create an index.html and build a basic markup

<!DOCTYPE html>
<html>
  <head>
    <title>PDF Search with TensorFlow.js</title>
  </head>
  <body>
    <h1>PDF Search with TensorFlow.js</h1>…

How to use Machine Learning to answer questions based on PDF content

Introduction

Prerequisites

Step 1: Setting Up the HTML

Written by Nikhil Nanjappa

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