Flipkart GRID 6.0

This project tackles two core problems:

1. Product Attribute Extraction - Extraction of attributes from product data.
2. Freshness Detection for Groceries - Determining the freshness of grocery items.

Directory Structure

📂 Project Directory  
├── 📁 CODE             # Source Files
│   ├── 📂 build 
│   └── 📂 utilities
│  
├── 📁 IMAGE            # Output Images
├── 📁 MODEL            # Trained models (e.g., best.pt)  
├── 📁 VIDEO            # Sample Videos (input)  
├── 📝 main_fresh.py    # Grocery freshness detection script.  
├── 📝 main_product.py  # Product attribute extraction script.  
└── 📄 requirements.txt # package dependencies.  

Setting Up the Environment

1. Create and Activate Conda Environment:

   conda create --name grid python=3.10 -y
   conda activate grid

2. Install Required Libraries:
   Use the requirements.txt file to install the necessary dependencies:

   pip install -r requirements.txt

3. Run the Application:

   • For product attribute extraction, run:

     python main_product.py

   • For grocery freshness detection, run:

     python main_fresh.py

Accessing the User Interface

Once the scripts are running, you can access the web-based UI for interacting with the outputs at:
Flipkart GRID 6.0 UI