# Grocery-Store-in-Django-with-Content-Based-Recommendation
An Online Grocery Store using HTML, CSS, Bootstrap, Python Django, SQLite, featuring a content-based recommendation system based on cosine similarity using product descriptions. Kaggle Grocery Store Dataset used.
Features
- Grocery Store Functionality:
- View products by category
- Add to cart and manage orders
- Product recommendations
- Content-Based Recommendation:
- Uses cosine similarity to recommend products based on their descriptions.
- Dataset:
- Sourced from Kaggle Grocery Store Dataset.
- Tech Stack:
- HTML, CSS, Bootstrap
- Python, Django
- SQLite
Dataset Structure
- Dataset Path:
dataset/
classes.csv: Contains coarse class names, IDs, and paths to images/descriptions.iconic-images-and-descriptions/: Contains product images and descriptions organized by categories (fruit, vegetables, packages).
Note: Please connect to the internet as most of the styling is handled by Bootstrap, which requires an internet connection for correct rendering.
## Installation[Note-- Please connect to internet as most of te styling is in bootstrap so it requires internet for correct displaying]
Step 1. Clone the repository:
git clone https://github.com/your-username/Grocery-Store-in-Django-with-Content-Based-Recommendation.git
Step 2: Unzip the Dataset
Unzip the dataset.zip file and place the dataset folder in the same directory as your project.
Optional: You can delete the dataset.zip file after unzipping, as its no longer required.
Step 3: Create a Virtual Environment
To create a virtual environment, run:
python -m venv myenv
Step 4: Activate the Virtual Environment
Activate the virtual environment depending on your operating system:
On Windows:
myenv\Scripts\activate
On macOS/Linux:
source myenv/bin/activate
Once activated, your terminal should show (myenv) in the prompt, indicating the virtual environment is active.
Step 5: Install Required Packages