SmartFinanceAdvisor is an innovative application designed to provide personalized financial advice based on real-time data analysis. It integrates multiple languages and technologies to collect, process, analyze, and provide recommendations for personal finance management.

• Real-time financial data collection and processing
• Personalized financial advice using AI/ML models
• Interactive and responsive web interface
• Scalable and modular architecture

1. Clone the repository:

   git clone https://github.com/your-username/SmartFinanceAdvisor.git
   cd SmartFinanceAdvisor

2. Set up the backend:

   cd backend
   go mod init
   go mod tidy
   go run main.go

3. Set up the frontend:

   cd frontend
   npm install
   npm start

4. Set up the machine learning environment:

   cd machine_learning
   pip install -r requirements.txt
   python model_training.py

5. Set up the data processing environment:

   cd data_processing
   Rscript requirements.R
   Rscript process_data.R

6. Use Docker for easier setup (optional):

   cd infrastructure
   docker-compose up

• Access the web interface at http://localhost:3000
• Backend API available at http://localhost:8080/api
• Machine learning models are trained and evaluated via the scripts in machine_learning
• Data processing is handled via R scripts in data_processing

We welcome contributions from everyone. Please read our CONTRIBUTING.md for more details.

This project is licensed under the MIT License - see the LICENSE file for details.