🧠 Building an AI Study Buddy: A Practical Guide to Developing a Simple Learning Companion

Author(s): Hemanth Sanisetty

Originally published on Towards AI.

AI Generated Image

In the era of digital transformation, education is undergoing a significant evolution. Traditional study methods are being augmented and in some cases, replaced by intelligent tools that cater to individual learning styles and needs. This project serves as a practical demonstration of how AI can be harnessed to process educational content efficiently. This AI Study Buddy is designed to:

Summarize educational materials from PDFs and YouTube videos.Generate quizzes and flashcards to reinforce learning.Provide a modular architecture that can be expanded upon.

In this guide, we’ll build it from scratch using Groq API for ultra-fast inference using models like LLaMA 3 and Mistral, LangChain, FAISS, and Sentence Transformers for RAG, Streamlit for a production-ready front end.

This module focuses on extracting text from PDF documents, enabling the tool to process and summarize textual content effectively. In this module, we use PyMuPDF to iterate through each page of the PDF to extract text.

import fitz # PyMuPDFdef extract_text_from_pdf(uploaded_file): """ Extracts and returns the full text from a PDF file using PyMuPDF. """ text = "" with fitz.open(stream=uploaded_file.read(), filetype="pdf") as doc: for page in doc: text += page.get_text() return text

The YouTube Transcript Retrieval Module is designed to extract textual transcripts from YouTube videos, enabling subsequent… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI