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A Smart, AI-driven platform for modern personal finance management — combining voice input, receipt scanning, machine learning, and predictive analytics to help users take control of their financial future.

In today's fast-paced digital world, many individuals struggle with managing their finances due to the limitations of traditional budgeting tools and manual tracking. Our project —AI-Powered Personal Finance Tracker — presents an intelligent, accessible, and bank-independent solution for effortless financial management.

This platform uses cutting-edge technologies likeTesseract OCR for extracting transaction data from receipts,FinBERT NLP for intelligent expense categorization, and supportsvoice-based transaction logging via theWeb Speech API andStanza. For smarter budgeting and forecasting, it integratesGradient Boosted Decision Trees,Prophet, andLSTM models.

Key modules includeGroup Expense Management for shared finances, andCelery-based Reminders to notify users about bills. The system is built with aDjango backend and a responsiveHTML + Tailwind CSS frontend.

• 🧾Receipt Scanning: Extract transaction data using Tesseract OCR.
• 🗣️Voice Logging: Add expenses using voice input with Web Speech API and Stanza.
• 📊Smart Categorization: FinBERT classifies expenses into intelligent categories.
• 📈Forecasting Engine: Uses Prophet + LSTM for financial trend prediction.
• 💰AI Budgeting: Gradient Boosted Decision Trees generate budget suggestions.
• 👥Group Expenses: Track and manage shared spending with others.
• ⏰Bill Reminders: Scheduled reminders using Celery and Redis.
• 🖥️Dashboard: Visualizes spending, forecasts, and trends for informed decisions.
• 🔐Authentication: Session-based login system ensures secure access.

Final-Year-Project/├── finance_tracker/ # Django project folder├── templates/ # HTML templates├── static/ # Tailwind CSS, JS, images├── receipts/ # Uploaded receipt images├── models/ # Trained ML models (Pickle format)├── celery.py # Task scheduling setup├── requirements.txt # Dependencies└── README.md # Project documentation

1. Clone the Repository

   git clone https://github.com/sugapriya-k/Final-Year-Project.gitcd Final-Year-Project

2. Create Virtual Environment

   python -m venv venvsource venv/bin/activate# On Windows: venv\Scripts\activate

3. Install Requirements

   pip install -r requirements.txt

4. Run Redis Server

       redis-server

5. Start Celery Worker

   celery -A finance_tracker worker --loglevel=info

6. Run Django Server

   python manage.py migratepython manage.py runserver