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Fintech Finder is an application that its customers can use to find fintech professionals from among a list of candidates, hire them, and pay them. It is a simple app for learning purposes.

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VladislavGlupak/Fintech-Finder

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Fintech-Finder

Fintech Finder is an application that its customers can use to find fintech professionals from among a list of candidates, hire them, and pay them. It is a simple app for learning purposes.


Technologies

This project leverages the following tools for financial analysis:

  • Conda - source package management system and environment management system.

  • Pandas - Python library that’s designed specifically for data analysis.

  • Streamlit - Streamlit turns data scripts into shareable web apps.

  • Python - is a programming language.

  • Ganache - is a local blockchain.

Libraries:

import os
from dotenv import load_dotenv
from bip44 import Wallet
from eth_account import Account
from web3.gas_strategies.time_based import medium_gas_price_strategy
from web3 import Web3

Ganache network: w3 = Web3(Web3.HTTPProvider('HTTP://127.0.0.1:7545'))


How to run

  1. Install Streamlit pip install streamlit

  2. Clone the repository git clone https://github.com/VladislavGlupak/Fintech-Finder.git

  3. Go to repository folder and run streamlit run fintech_finder.py

  4. You will see simple FinTech Finder app that enables customers to send cryptocurrency payments to fintech professionals.

Example of running

Step by step:

  1. Select the perfon from the database, input amount of working hours and click send transaction. Before sendind, please confirm wallet address and amount of Eth.

Screenshot

In the middle user will see the personal information of the professionals.

Screenshot

  1. You can use Ganache for checking the transaction

Sender and receiver:

Screenshot

All transactions:

Screenshot

Transaction from Sender to Receiver:

Screenshot


Contributors

Glupak Vladislav Linkedin

License

License: MIT

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Fintech Finder is an application that its customers can use to find fintech professionals from among a list of candidates, hire them, and pay them. It is a simple app for learning purposes.

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