📌 Project Title
Smart Receipt Analyzer & Expense Dashboard
An advanced Python project that combines OCR, data processing, categorization, and dashboard visualization to automate expense tracking from printed receipts.
🚨 Problem Statement
People often get printed receipts but lose or ignore them, missing the chance to track expenses. Manually recording items is tedious. This project offers an automation solution using Python and OCR.
🛠️ Solution Breakdown
- Upload image of receipt
- Extract text using OCR
- Clean and parse item names and prices
- Categorize items (Food, Toiletries, etc.)
- Store results in CSV/Excel/SQLite
- Generate interactive expense dashboard
- Optional: Print summary invoice
🧰 Tools & Technologies
| Component | Library/Tool |
|---|---|
| OCR | pytesseract, opencv |
| Image Handling | PIL |
| Data Handling | pandas |
| Categorization | Rule-based/keyword logic |
| Visualization | matplotlib, seaborn, plotly |
| Dashboard | streamlit or tkinter |
| Storage | CSV, Excel, SQLite |
📷 Example Scenario
Uploaded receipt:
Sunlight Detergent 2,000
Indomie Noodles 3,500
Coca-Cola 1,200
Toothpaste 850
USB Cable 1,500Categorized Output:
| Item | Price | Category |
|--------------------|--------|------------------|
| Sunlight Detergent| 2000 | Toiletries |
| Indomie Noodles | 3500 | Food & Beverage |
| Coca-Cola | 1200 | Food & Beverage |
| Toothpaste | 850 | Toiletries |
| USB Cable | 1500 | Electronics |Dashboard Summary:
- Total Expenses: ₦9,050
- Toiletries: ₦2,850
- Food & Beverages: ₦4,700
- Electronics: ₦1,500
✨ Bonus Ideas (Optional)
- Voice summary of expenses with pyttsx3
- Cloud access & storage
- Set expense limits with alerts
- Compare monthly expense trends
🗂 Next Steps
- Assign team roles
- Set up environment (VS Code or Jupyter)
- Install required libraries
- Start with OCR → Parsing → Categorizing → Visualizing