This is the repository for the prototype of the Build for Bharat hackathon. The aim of this project is to digitize Indian catalogues and make them searchable on a platform. This repository contains the source code for a webapp.

Hosted Link Admin Dashboard

• Installation
• Problem
• Solution
• USP
• Technology
• Business
• Team

Follow these steps to set up the development environment:

1. Clone the repository:

   git clone https://github.com/exploring-solver/CatalogCraft.git
   cd frontend

2. Install Dependencies:

   npm i

3. Start the development server:

   npm run dev

   The application should now be running at http://localhost:5173

The challenge is to develop innovative solutions that leverage cutting-edge technologies to seamlessly digitalize and enhance product catalogs, offering a user-friendly experience for sellers and seller apps. Consider a sample catalog with at least 1000 SKUs, with attributes such as SKU id, product name, description, price, image, inventory, colour, size, brand, etc. This catalog is to be digitized using a combination of intuitive interfaces such as text / voice / image input, with text & voice input using any of the Indic languages. In some cases, a combination of these interfaces are required to digitize an SKU e.g. scan image which pre-fills the product name from the repository, with the remaining attributes filled using text or voice input.

• Process Inefficiency and Time inefficient
• Resource Redundancy
• Catalog integrity issues, Image Quality and accuracy
• Lack of Standardization, Consistency Issues
• Multiple steps and clicks involved
• UX friction, CX pain points

• Barcode Scanning
• Voice Input
• Vector Image search
• Mapping to master catalogue
• Download reported analytics
• Adheres to taxonomy
• Standardized and non-standardized product support
• Catalog Templates
• YOLO Model to detect items and fill their catalogue
• Seamless Multilingual Support Integration
• Robust chatbot which supports all major languages
• Dual backend and database integration options (Django and Nodejs)
• Bulk data addition and instant catalog creation
• Auto Filling Maximum Data

1. Aman Sharma
2. Ravi K Banchhiwal
3. Ishaan Minocha
4. Shivam Kumar Jha