AI Automated Smart Expense Tracker with Receipt OCR
Intelligent personal and business expense tracking web application with automated optical character recognition (OCR) receipt parsing and budget forecasting.
### AI Smart Expense Tracker & Receipt OCR Analysis System
The **AI Smart Expense Tracker** eliminates manual data entry by extracting receipt totals, merchant names, tax breakdowns, and line items automatically using Computer Vision OCR (Tesseract / PaddleOCR). Combined with a machine learning budget forecasting engine, it provides predictive financial insights, category-wise spending analytics, and anomaly detection.
#### 🧠 Architecture & Tech Stack:
- **Backend & Web**: Python 3.10+, Django 5.x, Django REST Framework
- **OCR Pipeline**: PaddleOCR / Tesseract OCR with adaptive image thresholding and noise filtering
- **Predictive Analytics**: Scikit-Learn Linear Regression & ARIMA for monthly budget trend forecasting
- **Database**: SQLite (Dev) / PostgreSQL (Production)
- **Visual Analytics**: Interactive Chart.js / ApexCharts dashboards with exportable CSV/PDF reports
#### 📦 Complete FYP Deliverables Included:
- Complete Source Code with clean MVC architecture
- Automated database schema migrations & sample financial test data
- Full IEEE Final Year Project Report & User Manual
- PowerPoint Presentation for Project Defense
What's Included in the Package:
- Complete Django Web Application Source Code
- Receipt OCR Machine Learning Pipeline Scripts
- Pre-configured SQLite Database with Sample Data
- 50+ Page IEEE Documentation Report (DOCX)
- Defense Presentation Slides (PPTX)
- Free Setup Assistance via WhatsApp
Quick Build & Interfacing Guide:
Unbox and verify all pre-tested sensors, microcontrollers, and wiring components included in your package.
Secure mechanical brackets, servos, and modules to the main frame using the provided mounting hardware.
Interface VCC, GND, and GPIO signal lines according to the verified schematic diagram provided with the kit.
Upload the tested source code via Arduino IDE, Python, or ESP-IDF and verify live sensor readings and actuation.
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