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sugapriya-k / repository
An AI-powered personal finance tracker to manage expenses, predict spending, and plan budgets using machine learning.
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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 like Tesseract OCR for extracting transaction data from receipts, FinBERT NLP for intelligent expense categorization, and supports voice-based transaction logging via the Web Speech API and Stanza. For smarter budgeting and forecasting, it integrates Gradient Boosted Decision Trees, Prophet, and LSTM models.
Key modules include Group Expense Management for shared finances, and Celery-based Reminders to notify users about bills. The system is built with a Django backend and a responsive HTML + Tailwind CSS frontend.
| Layer | Technologies Used |
|---|---|
| Frontend | HTML5, Tailwind CSS, JavaScript, Web Speech API |
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SnapshotPro /
GELD is an AI-powered personal finance assistant built with IBM watsonx.ai (Granite), Flask, HTML, CSS, and JavaScript. It helps users manage budgets, track expenses, plan savings, and receive personalized financial insights through an intelligent AI assistant.
59/100 health| Backend | Python, Django, Celery, Redis, SQLite |
| AI & ML | Tesseract OCR, FinBERT (NLP), Stanza (NLP), Gradient Boosted Trees, Prophet, LSTM |
| Auth | Django Sessions |
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
git clone https://github.com/sugapriya-k/Final-Year-Project.git
cd Final-Year-Project
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
pip install -r requirements.txt
redis-server
celery -A finance_tracker worker --loglevel=info
python manage.py migrate
python manage.py runserver