How to Build a PDF-Based Q&A Model from Scratch | Train & Ask with Python, Flask, HTML & JavaScript

Learn how to build a Question-Answering model from scratch using Python, Flask, HTML, and JavaScript! This step-by-step tutorial guides you through extracting text from a PDF, training a model, saving it, and querying it for answers—all without using any pre-trained models!

🔹 What You'll Learn:
✅ Extract text from PDFs using PyMuPDF
✅ Train a TF-IDF-based model from scratch
✅ Save the trained model in a trainfolder
✅ Build a Flask API to handle training & responses
✅ Create an HTML + JavaScript frontend to interact with the model

🎯 Perfect for:

AI enthusiasts who want to build models from scratch
Developers looking for a simple yet effective PDF Q&A solution
Anyone interested in Flask, Python, and web development
🔗 Code & Resources:

📌 Timestamps:
00:00 - Introduction
01:30 - Extracting Text from PDF
05:00 - Training the Model
08:30 - Saving and Loading the Model
12:00 - Building the Flask Backend
15:30 - Creating the Frontend with HTML & JavaScript
18:00 - Testing the Q&A System

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