Yet to complete. Debugging ongoing.
A comprehensive system to manage financial portfolios, track investments, analyze performance, and predict trends using machine learning.
- User authentication and authorization
- Portfolio management
- Real-time market data integration
- Performance analytics
- Predictive analytics
- Notifications
- Frontend: Vue.js
- Backend: Flask
- Database: PostgreSQL
- Machine Learning: Scikit-Learn, TensorFlow
- Hosting: Docker, AWS/GCP/Azure
- Clone the repository.
- Navigate to
backend
andfrontend
directories and install dependencies. - Set up environment variables and database configuration.
- Build and run Docker containers using
docker-compose up
. - Access the frontend at
http://localhost:8080
and backend athttp://localhost:5000
.