🏦 Fintech Transaction Simulator

A complete backend simulation of a secure money transfer application. Built with Python and Streamlit, this platform demonstrates core financial technology workflows including user authentication, real-time currency conversion, and dynamic transaction fee calculations.

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🌐 Live Demo

Experience the simulation directly in your browser:
👉 Launch Fintech Simulator

📱 Fully Responsive: Whether you're on a multi-monitor desktop setup or testing it out on your phone, this application scales perfectly to any screen size. Give it a try on mobile!

⏳ A quick heads-up on loading time: This application is hosted on Streamlit's free community cloud. If it hasn't been interacted with in a few days, it may go to "sleep" to save resources. If you see a sleeping screen, just click "Wake up app" and it will boot up in seconds!

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📸 Application Tour

Here is a look at the core interfaces and financial logic in action.

Secure Authentication System

Cross-Border Transfer & Fee Calculation

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✨ Key Features

• Role-Based Access Control: Secure Login, Sign-Up, and Admin portals managing distinct user sessions.
• Simulated Ledger: Persistent user balance tracking utilizing a lightweight JSON database.
• Dynamic Currency Conversion: Calculates cross-border exchange rates (e.g., INR to USD) on the fly.
• Automated Fee Processing: Programmatically calculates transaction fees and total account deductions before executing a transfer.

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📂 Repository Structure

A clean, single-page application architecture using JSON for state management:

📦 fintech-transaction-sim
 ┣ 📂 .devcontainer   # Development container configuration
 ┣ 📜 mta.py          # Main application logic, UI, and routing
 ┣ 📜 user_data.json  # Lightweight database for credentials and balances
 ┗ 📜 README.md       # Project documentation

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💻 How to Run Locally

To run this simulation on your own machine, you will need Python installed.

1. Clone the repository

git clone https://github.com/mohdayandev/fintech-transaction-sim.git
cd fintech-transaction-sim

2. Install dependencies Make sure you have Streamlit installed in your environment:

pip install streamlit

3. Start the application

streamlit run mta.py

Streamlit will automatically open a new browser tab serving the application locally.

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👨‍💻 About the Developer

Mohammed Ayan Architecting intelligent systems and scalable cross-platform experiences.

🔗 Connect with me on LinkedIn