bill info extract Computer Vision Project

Here are a few use cases for this project:

1. Expense Management: This computer vision model can help businesses manage their expenses more effectively by automatically extracting and categorizing information from paper bills and receipts. The data is then processed for analysis to observe trends and manage budgets.

2. Automating Accounting: A small business can implement this model to automatically input bill data into accounting software, minimizing human errors and speeding up the accounting process.

3. Market Research: Extracting product and pricing data from retail bills can contribute to comprehensive market research, allowing companies to gain insights about pricing strategies and the popularity of different products.

4. Customer Relationship Management (CRM): For a retail business, using this model can help track and analyze purchasing habits of customers. Information such as product name, price, and purchase date can be extracted and used to personalize future offers and recommendations.

5. Personal Finance Apps: Use cases of such models can be found in personal finance apps that offer expense tracking features. The model can categorize and break down expenditures based on the extracted information, helping users understand their spending patterns better.