Add catalog digitization feature with intuitive interfaces, multilingual support, and OCR integration

README.md

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-# Catalog-Digitization-
+# Catalog Digitization - BUILD FOR BHARAT Hackathon 2024
+
+## Introduction
+This project aims to revolutionize how product catalogs are digitized, leveraging cutting-edge technologies to enhance the user experience for sellers. Our solution seamlessly digitizes catalogs with 1000+ SKUs, incorporating attributes like SKU id, product name, description, price, image, inventory, color, size, and brand, using a combination of intuitive interfaces including text, voice, and image inputs in Indic languages.
+
+## Architecture
+Our architecture combines OCR technology with a sophisticated large language model to extract and process data from images, pre-filling product information from an existing repository. The backend, built with Django, manages data operations and interfaces, ensuring a smooth digitization process.
+
+![Architecture](images/arch.png)
+
+## Features
+- **Intuitive Interfaces**: Use of text, voice, and image inputs for catalog digitization.
+- **Multilingual Support**: Incorporates Indic languages for text and voice inputs.
+- **OCR Integration**: Extracts data from images to streamline the digitization process.
+- **Database Management**: Efficiently stores and retrieves catalog data, with checks against a primary database to avoid duplicates.
+
+## Getting Started
+
+```
+pip install -r requirements.txt
+python manage.py makemigrations
+python manage.py migrate
+python manage.py runserver
+```
+
+## Pages
+
+1. Catalog Page - All the Digitiliazed Catalogs will be displayed here.
+2. Upload Image - User can upload the image of a product and the details will be extracted using OCR & LLM
+3. Add Product - User can add the product details and update it to the database.
+
+## Technologies Used
+
+- **Django**: Backend framework for managing data operations and interfaces.
+- **Tesseract OCR & Easy OCR & AZURE OCR**: Extracts text from images for digitization.
+- **LLAMA 7B & GPT 3.5**: Large language model for processing text and voice inputs.
+- **Speech Recognition**: Converts voice inputs to text for digitization.