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https://github.com/sachindolase/swipe---assignment


https://github.com/sachindolase/swipe---assignment

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# Automated Data Extraction and Invoice Management

Develop a React application for Swipe that automates the extraction, processing, and

management of invoices data from various file formats. The app should organize the extracted

data into three main sections: Invoices, Products, and Customers, and synchronize changes in

real-time using Redux for consistent updates across tabs.



## Assignment Requirements:

1. File Uploads, AI-Powered Data Extraction, and Organization

- Accept different types of Input files including:

- Excel files: Contains transaction details (serial number, net/total amount, customer info).

- PDF/Images: Invoices with customer and item details, totals, tax, etc.

- Implement a generic AI-based extraction solution for all file types (Excel, PDF, images) to

identify and organize relevant data into the appropriate tabs (Invoices, Products, Customers).

- Dataset link: assignment_test_cases

  

2. React App Structure with Tabs

● Invoices Tab: Table with columns Serial Number, Customer Name, product name, qty,

tax, Total Amount and Date. (All required columns) - extra information is up to you

● Products Tab: Display a table with the following columns: Name, Quantity, Unit Price,

Tax, Price with Tax (all required). The Discount column is optional but can be included for

added detail.

● Customers Tab: Display a table with the following required columns: Customer Name,

Phone Number, and Total Purchase Amount. Additional fields can be added at your

discretion for more comprehensive customer data.

- Bonus points for additional data fields in any field.

  

3. Centralized State Management: Implement React Redux to maintain a centralized state for

consistent data handling across the app.

● Ensure that any changes made in the Products or Customers tabs are automatically

reflected in the Invoices tab.

● The application should dynamically update values across all tabs in real time. For

example, if the Product Name is updated in the Products tab, the change should be

instantly visible in the corresponding entry within the Invoices tab



4.Validation and Error Handling

● Data Validation: Validate all extracted data for completeness and accuracy.

● User Feedback: Provide clear feedback for unsupported file formats and extraction

errors.

● Handling Missing Fields: Highlight missing fields and prompt users to complete them in

a user-friendly way.



5. Code Quality and Documentation

- Maintain modular, well-documented code following React/Redux best practices.

- Include documentation on the AI data extraction feature.

- Mention the test cases solved with Screenshots/ videos.



AI Test Cases:

Test cases - > assignment_test_cases

● Case-1: Invoice pdfs

● Case-2: Invoice pdf + Images.

● Case-3: Excel File

● Case-4: Excel Files

● Case-5: All Types of Files.

The goal is to extract Invoice, Product and Customer details and update in the respective

tabs for each of the above test cases using a generic AI based solution.