https://github.com/jeslipriya/expense-tracker
This is a smart expense tracking web app built with Flask that helps users manage and visualize their spending. It features Pandas and Numpy analysis to suggest ways to cut down on unnecessary expenses, with clean UI, graph visualizations, and secure login.
https://github.com/jeslipriya/expense-tracker
css flask-application full-stack html matplotlib numpy pandas
Last synced: about 2 months ago
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This is a smart expense tracking web app built with Flask that helps users manage and visualize their spending. It features Pandas and Numpy analysis to suggest ways to cut down on unnecessary expenses, with clean UI, graph visualizations, and secure login.
- Host: GitHub
- URL: https://github.com/jeslipriya/expense-tracker
- Owner: jeslipriya
- Created: 2025-04-25T14:28:03.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-05-25T17:25:28.000Z (about 1 year ago)
- Last Synced: 2025-05-25T18:33:34.530Z (about 1 year ago)
- Topics: css, flask-application, full-stack, html, matplotlib, numpy, pandas
- Language: Python
- Homepage:
- Size: 18.6 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Expense Analyzer
A web application to help users manage, track, and analyze their expenses with AI support.
Built using **Flask**, **SQLite**, and **Python**.
## Project Structure
```
ai/
└── expense_analyzer.py # AI analysis logic
static/
├── graph.png # Generated graph image
└── style.css # Application styling
templates/
├── base.html # Base template
├── edit.html # Edit expense page
├── graph.html # Graph visualization page
├── home.html # Homepage
├── login.html # User login page
└── register.html # User registration page
utils/
└── file_handler.py # Utility functions
app.py # Main Flask application
database.db # SQLite database
```
## Features
- User registration and login functionality
- Add, edit, and delete expenses
- AI-powered expense analysis
- Visualization of expenses using graphs
- Responsive and clean user interface
## Installation and Setup
1. Clone the repository:
```bash
git clone https://github.com/jeslipriya/Expense-Tracker.git
```
2. Navigate to the project directory:
```bash
cd Expense-Tracker
```
3. Install the required dependencies:
```bash
pip install -r requirements.txt
```
4. Run the application:
```bash
python app.py
```
5. Open your browser and go to:
```
http://127.0.0.1:5000/
```
## Future Enhancements
- Generate detailed monthly and yearly reports
- Enable data export to CSV files
- Improve mobile responsiveness
- Enhance AI analysis features
## License
This project is licensed under the MIT License.
---
> Developed with passion and precision.