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SmartCart

SaaS application that allows users to scan grocery receipts, automatically extract purchased items, and analyze their spending habits. The platform leverages OCR and data processing to transform raw receipt data into structured insights, enabling users to track expenses, compare prices across stores, and optimize their shopping decisions. *

🧾 SmartCart — Smart Grocery Expense & Price Analytics

SmartCart is a cloud-based application designed to help users better understand and optimize their grocery spending. By scanning receipts, the platform automatically extracts and structures purchase data, providing actionable insights on spending habits and price variations.

🎯 Problem

Tracking grocery expenses and comparing prices across stores is time-consuming and often inaccurate. Most users rely on memory or manual tracking, making it difficult to identify spending patterns or optimize their shopping habits.

💡 Solution

SmartCart simplifies this process by:

Scanning and digitizing grocery receipts Automatically extracting products and prices Structuring purchase data for analysis Providing insights into spending behavior Enabling price comparison across stores

⚙️ Key Features

📸 Receipt Scanning

Upload and process grocery receipts using OCR

🧾 Automatic Data Extraction

Identify products, prices, totals, and store information

📊 Spending Analytics

Track expenses over time and analyze purchasing habits

🏪 Price Comparison Compare product prices across different stores

📈 Price Evolution Tracking (planned)

Monitor price changes over time

💡 Smart Insights (planned)

Get recommendations to optimize grocery spending

🏗️ Architecture

The application follows a modular backend architecture:

Spring Boot (Java) for backend services PostgreSQL for data storage Docker for containerization OCR Service (mocked initially, extendable later) Parsing Engine to extract structured data from raw text

🎯 Project Goals

Build a real-world SaaS product with practical use cases Demonstrate backend architecture and system design skills Implement data processing and parsing logic Integrate DevOps practices (Docker, CI/CD) Create a scalable and maintainable system

🚀 Future Improvements Improve OCR accuracy with external APIs Advanced product matching and categorization Mobile application (React Native) Real-time price optimization suggestions Multi-user and collaborative features

About

SaaS application that allows users to scan grocery receipts, automatically extract purchased items, and analyze their spending habits. The platform leverages OCR and data processing to transform raw receipt data into structured insights, enabling users to track expenses, compare prices across stores, and optimize their shopping decisions.

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