https://github.com/ltwmori/fintex-frontend

Fullstack for the top-3 solution on the Tumaris 2022 hackathon | Fintech mobile app for predicting the cryptocurrency exchange rate
https://github.com/ltwmori/fintex-frontend

asp csharp machine-learning neural-network react-native

Last synced: 2 months ago
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Fullstack for the top-3 solution on the Tumaris 2022 hackathon | Fintech mobile app for predicting the cryptocurrency exchange rate

• Host: GitHub
• URL: https://github.com/ltwmori/fintex-frontend
• Owner: ltwmori
• Created: 2022-05-25T18:27:04.000Z (about 4 years ago)
• Default Branch: start
• Last Pushed: 2022-05-29T13:37:50.000Z (about 4 years ago)
• Last Synced: 2025-05-29T09:10:23.268Z (about 1 year ago)
• Topics: asp, csharp, machine-learning, neural-network, react-native
• Language: JavaScript
• Homepage:
• Size: 4.38 MB
• Stars: 0
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Fintex project

## Machine Learning

In this project, we tried to predict the cryptocurrency exchange rate using Sequential data, so we can get the data of the past few weeks\ months\ years and then predict the next day.

Pandas_datareader library was used to get the financial data from yahoo-finance API. 

The neural network is trained on past 60-day data and predicted the 61st day.

LSTM - Long Short Term Memory layers are reccurent layers, that memories the sequential data.

Dropout layer is used for preventing overfitting.

## Members

1. Sanzhar Kanafin - (telegram: @grandsheber1)

2. Assel Abzalova - (telegram: @axsbjs)

3. Abylay Kairatbek - (telegram: @abyl_10)

![image](https://user-images.githubusercontent.com/56842208/170866872-29736459-89f1-47a4-84af-5e5b24034211.png)

## Tools

1. React Native

2. Backend in C#

3. Sequential data