AI Crypto Trading Assistant

MVP Scope - AI Powered Crypto Trading Assistant

The goal of the project is to build an full-stack, AI-powered crypto trading assistant with real-time data visualization, basic ML predictions, and sentiment-based strategy recommendations.

The MVP includes: - React frontend using Vite - Flask backend in a virtual environment - Connecting frontend and backend via a '/ping' test endpoint - Fetch real-time crypto price data using the Yahoo Finance API - Display prices in a simple chart on the frontend

Tech Stack

Frontend: - React (via Vite) - Axios - for API requests - React Router - for page navigation - Chart.js - for data visualization - Tailwind CSS - for responsive styling

Backend: - Python - Flask - backend web framework - scikit-learn - for ML model structure - TextBlob - for sentiment analysis

APIs: - Yahoo Finance - for real-time crypto price data - Reddit API or sample JSON - for community sentiment

DevOps / Hosting: - GitHub - version control - Railway / Render - for backend deployment - Vercel - for frontend deployment - GitHub Actions - for continuous integration & deployment

Testing: - Pytest - for backend unit testing - Jest & React Testing Library - for frontend testing

Built With

• batchfile
• c
• css
• dockerfile
• html
• javascript
• jupyter-notebook
• powershell
• python