TrackMyStack – AI Spending Analyzer & Dashboard

TrackMyStack is a personal finance application that helps users understand and optimize their spending. Using Open Banking APIs, AI-driven categorization, and an interactive JavaFX dashboard, the app turns raw transaction data into actionable insights and predictive spending forecasts.

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🌟 Features

• Bank Transaction Integration
  Connects to TrueLayer sandbox to pull account and transaction data.

• AI/NLP Spending Categorization
  Automatically classifies transactions into categories like groceries, subscriptions, income, and entertainment.

• Interactive Dashboard
  JavaFX GUI with charts, monthly trends, and spending summaries.

• Predictive Insights
  Estimates next month’s spending per category based on historical data.

• Alerts & Notifications
  Highlights overspending and unusual transactions.

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🛠️ Tech Stack

• Java (OOP) – Core application logic
• JavaFX – Dashboard and data visualization
• Python (optional) – AI/NLP for categorization & predictive analysis
• TrueLayer Sandbox API – Access bank transactions
• SQLite / CSV – Local transaction storage

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🔒 Security

• API credentials (CLIENT_ID, CLIENT_SECRET, REFRESH_TOKEN) are never hardcoded.
• Use .env file for credentials (see .env.example).

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🚀 Getting Started

1. Clone the repository:

git clone https://github.com/yourusername/TrackMyStack.git
cd TrackMyStack