# TrackAI -- AI and Sustainability Finance Tracker

TrackAI is a full-stack personal finance application that automates expense classification using natural language processing. Beyond standard tracking, it calculates carbon footprint estimates based on user spending habits to encourage eco-conscious purchasing decisions.

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## Key Problems Solved

Traditional expense trackers require tedious manual entry, category selection, and transaction logging. TrackAI simplifies this experience by:

1. Natural Language Entry: Parsing unstructured plain-text financial entries into structured database records.

2. Carbon Impact Analysis: Converting spending data into estimated carbon emission metrics to measure environmental footprint.

3. Personalized Advisory: Offering real-time financial suggestions grounded in the user's historical transaction records.

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## Key Features and Architecture

* Natural Language Processing: Parses financial text entries to automatically categorize expenses across 8+ spending categories.

* Sustainability Analytics: Evaluates categorized purchases using footprint estimation algorithms to display real-time carbon impact metrics.

* Dynamic Visualizations: Renders 6+ interactive analytics charts for spending trends, budget allocations, and eco-subscription tracking.

* AI Financial Chat Advisor: Provides tailored budget optimization advice based on historical transaction logs.

* Route Security and Session Management: Isolates user data environments through JWT authentication middleware and Axios token refresh interceptors.

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## Technical Highlights and Metrics

* Categorization Scope: 8+ spending categories parsed automatically

* Data Visualizations: 6+ interactive financial and environmental analytics charts

* Security Architecture: JWT route protection with automated Axios interceptor refresh handling

* Backend Stack: Node.js, Express, MongoDB Atlas, RESTful API design

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## Tech Stack

* Frontend: React.js, Next.js, Tailwind CSS, Redux Toolkit

* Backend: Node.js, Express.js, REST APIs, JWT Auth

* Database: MongoDB, Mongoose

* Infrastructure: Vercel (Frontend), Render (Backend API), GitHub