9EduLink AI: An AI-Powered Virtual Learning Assistant Using Gemini AI and Vertex AI (#VertexAISprint)
Introduction
EduLink AI is an innovative AI-powered learning assistant designed to enhance the virtual learning experience. Built as part of the #VertexAISprint, this project leverages Gemini AI and Vertex AI to generate educational content, provide AI-driven discussions, and create adaptive quizzes. It also incorporates Retrieval-Augmented Generation (RAG) to improve the relevance and accuracy of AI-generated responses. This blog will walk you through the step-by-step implementation of EduLink AI, from setting up the environment to deploying the project on Google Cloud.
Features of EduLink AI
EduLink AI incorporates advanced AI-driven functionalities, including:
- AI-Powered Content Generation: Uses Gemini AI to create structured educational content.
- Real-time AI Discussions: Enhances study group interactions through AI-generated discussion topics.
- Adaptive Quizzes: AI generates customized quizzes based on learning material.
- Retrieval-Augmented Generation (RAG): Enhances AI responses by retrieving relevant data before generating content.
- Text and Image Processing: Extracts text from PDFs and images using OCR.
- Cloud Deployment: Deployed on Google Cloud Run with Vertex AI integration.
Step 1: Setting Up the Environment
To begin, set up a Python environment with the required dependencies. Create a requirements.txt file and install the necessary libraries:
Flask
gunicorn
google-cloud-aiplatform
vertexai
PyPDF2
pytesseract
pillow
Install the dependencies using:
pip install -r requirements.txt
Step 2: Configuring Vertex AI
Initialize Vertex AI with your Google Cloud project:
import vertexai
PROJECT_ID = “”
LOCATION = “us-central1”
vertexai.init(project=PROJECT_ID, location=LOCATION)
Step 3: Building the Flask Application
Create a Flask app with routes for AI-driven features:
from flask import Flask, request, jsonify, render_template
import vertexai
from vertexai.generative_models import GenerativeModel, Part
app = Flask(__name__)
@app.route('/')
def home():
return render_template('home.html')
@app.route('/summarize', methods=['POST'])
def summarize():
text = request.json['text']
model = GenerativeModel("gemini-1.5-pro-001")
response = model.generate_content([Part.from_text(f"Summarize: {text}")])
return jsonify({"summary": response.text})
if __name__ == '__main__':
app.run(debug=True)
Step 4: AI-Powered Quiz Generation
Enhance the Flask app with AI-generated quizzes:
@app.route('/generate_quiz', methods=['POST'])
def generate_quiz():
text = request.json['text']
model = GenerativeModel("gemini-1.5-pro-001")
response = model.generate_content([Part.from_text(f"Create a quiz based on: {text}")])
return jsonify({"quiz": response.text})
Step 5: Text and Image Processing
EduLink AI extracts text from PDFs and images:
import PyPDF2
import pytesseract
from PIL import Image
import io
@app.route('/upload', methods=['POST'])
def upload():
file = request.files['file']
if file.filename.endswith('.pdf'):
reader = PyPDF2.PdfReader(file)
text = "".join([page.extract_text() for page in reader.pages])
else:
image = Image.open(io.BytesIO(file.read()))
text = pytesseract.image_to_string(image)
return jsonify({"text": text})
Step 6: Deploying on Google Cloud Run
To deploy the project on Google Cloud Run, follow these steps:
- Build the Docker image:
docker build -t gcr.io/xyz/xyz-image .
2. Push the image to Google Container Registry:
docker push gcr.io/xyz/xyz-image
3. Deploy the application:
gcloud run deploy xyz-service --image gcr.io/xyz/xyz-image --platform managed --region us-central1 --allow-unauthenticated
Conclusion
EduLink AI demonstrates the power of Vertex AI and Gemini AI in transforming online education. By integrating Retrieval-Augmented Generation (RAG), AI-driven discussions, quizzes, and text processing, the project creates a personalized learning experience. This step-by-step guide provides a foundation for building AI-powered educational tools.
Are you excited to explore more? Stay tuned for updates on AI-driven learning solutions!
Project Url : https://edulinkai-service-551751827524.us-central1.run.app/
Github: https://github.com/geeta-gwalior/EduLink_AI
Google Cloud credits are provided for this project
EduLink AI: An AI-Powered Virtual Learning Assistant Using Gemini AI and Vertex AI… was originally published in Google Developer Experts on Medium, where people are continuing the conversation by highlighting and responding to this story.
