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Description
Description:
Integrate an AI-driven insights module that analyzes user spending patterns, predicts future expenses, and provides personalized financial advice such as budget optimization suggestions, savings opportunities, and alerts for unusual spending. This feature would use machine learning models trained on user data to generate actionable insights, enhancing the app's value beyond basic tracking.
Proposed Plan:
Research and select an AI/ML library (e.g., TensorFlow.js or integrate with a backend service like Google Cloud AI).
Create a new service file (e.g., services/insightsService.js) to handle data analysis and prediction logic.
Update the dashboard HTML/JS to display insights widgets.
Add API endpoints in routes/insights.js for fetching insights data.
Train initial models on sample data and implement user data privacy measures.
Test with mock data and integrate into the main dashboard.