Currency Minds

Currency Minds is a simple yet powerful currency converter and time series data visualization tool. It leverages the Frankfurter API to provide accurate and up-to-date foreign exchange reference rates published by the European Central Bank. The data is refreshed around 16:00 CET every working day, ensuring that users have access to the latest currency information.

Features

1. Currency Conversion: Convert currencies easily with the intuitive interface. Select the source currency, target currency, enter the amount, and get the converted value instantly.

2. Time Series Data Visualization: Visualize historical currency exchange rates over time. Track trends, analyze patterns, and make informed decisions based on the historical performance of different currencies.

3. CSV Download: Download time series currency data in CSV format for further analysis or record-keeping. This feature allows users to save and share historical exchange rate data seamlessly.

Technologies Used

• Frankfurter API: The project relies on the Frankfurter API to fetch accurate and timely foreign exchange reference rates published by the European Central Bank.

• Streamlit: The user interface is built using Streamlit, a Python library for creating interactive web applications with minimal effort.

Demo

Check out the live demo: Currency Minds Demo

Getting Started

1. Clone the repository:

   git clone https://github.com/atadanicen/currency-minds.git

2. Install dependencies:

   pip install -r requirements.txt

3. Run the Streamlit app:

   streamlit run app.py

This will launch the app in your default web browser.

Usage

1. Currency Conversion:

   • Choose the source and target currencies from the dropdown menus.
   • Enter the amount you want to convert.
   • And you will see the converted amount.

2. Time Series Data Visualization:

   • Navigate to the "Time Series" section.
   • Select the currencies and time range for the data.
   • Visualize the historical exchange rates using the interactive plot.

3. CSV Download:

   • In the "Time Series" section, after visualizing the data, click on the "Download CSV" button to download the time series data in CSV format.

Contributing

Contributions are welcome! If you have any suggestions, bug reports, or feature requests, feel free to open an issue or submit a pull request.