Saving pandas dataframe to django model with logic to avoid storing duplicate entries for a field in database

How can we add some logic to avoid duplicate entries for the incoming data. For example I am able to save the excel file in my database using to_sql. I have to validate that no two duplicate entries can be created for a column in this case I have title column and validate if two products have same title or name, the entry does not get added to the database.

import pandas as pd
from django.core.management.base import BaseCommand
from store.models import Product
from sqlalchemy import create_engine
from django.conf import settings

class Command(BaseCommand):
  help = "A command to add data from an Excel file to the database"

  def handle(self, *args, **options):

    excel_file = 'Product_data.xlsx'
    df = pd.read_excel(excel_file)
    
    #connection to mysql
    user = settings.DATABASES['default']['USER']
    password = settings.DATABASES['default']['PASSWORD']
    database_name = settings.DATABASES['default']['NAME']

    database_url = 'mysql://{user}:{password}@localhost:3306/{database_name}'.format(user=user,password=password,database_name=database_name)

    engine = create_engine(database_url, echo=False)

    df.to_sql(Product._meta.db_table, if_exists='append', con=engine, index=False)

So I have to add the validation logic before the data is inserted into the database such that in my case, we cannot store duplicate products that have same title or product_name.