ghiffaryr/aiquantassistant

AI Quant Assistant Commercial System

Assist your quantitative analysis by our AI quant assistant at affordable price

Gallery

Features

• REST API
• CI/CD
• JWT authentication
• Password recovery
• Error handling
• Local storage based visitor's shopping cart
• Persistent customer's shopping cart
• Product management
• Cart management
• Order management
• Subscription management
• Profile management
• Pagination

Technology Stacks

BackEnd Forecast

• Python 3.10
• Gunicorn WSGI HTTP Server
• Flask
• Numpy
• Pandas
• Scikit-learn
• Pytorch
• Yahoo Finance
• AutoTS
• FBProphet
• Neural Prophet

BackEnd Store

• Java 11
• Spring Boot 2.4
• Spring Security
• JWT Authentication
• Spring Data JPA
• Hibernate
• Maven
• Spring Validation
• Lombok
• Swagger 2.9.2

FrontEnd Web

• Javascript
• Node.JS
• React 18.2
• React Router
• Bootstrap 5.2
• SCSS
• Redux
• Axios
• NGINX

FrontEnd Android and iOS

• Javascript
• Node.JS
• React Native 0.71
• Expo 48
• React Navigation
• React Native Paper
• React Native Reanimated
• React Native Gesture Handler
• Redux
• Redux-Thunk
• Axios

Database

• MySQL
• Firebase

DevOps

• Docker
• Docker Compose

Database Schema

How to

Build JAR with dependencies

1. Open IntelliJ IDEA.
2. Open backend_store project.
3. Click on Maven sidebar.
4. Block clean until verify lifecycle then Run Maven Build.

Run in Docker

1. Start docker daemon.
2. Run docker compose.

docker-compose up --build

Import SQL Dump

1. Connect MySQL Workbench to

Host = localhost
Port = 8036
Username = root
Password = Password1#

2. Import ai_store.sql

Prepare FrontEnd Web Client

1. Open terminal from frontend_web_store
2. Install dependencies

npm install

Prepare FrontEnd Expo Mobile Client

1. Open terminal from frontend_mobile_store
2. Install dependencies

npm install

3. Run apps

npm start