💡 Description
FinTrack currently provides AI-powered insights using Google Generative AI. To take it up a notch, we can enhance this feature to give context-aware, trend-based, and predictive suggestions that adapt to user spending patterns over time.
🎯 Goals
- Implement an AI module that detects unusual spending trends and flags them
- Add “Smart Monthly Summary” cards that summarize habits and suggest savings goals
- Use Google Gen AI fine-tuning or prompt optimization for more relevant responses
- Include an option for users to rate AI suggestions, improving future recommendations
- Store AI recommendations history securely in Firebase for trend learning
🧩 Implementation Ideas
- Use firebase.firestore() for storing categorized expense data
- Integrate a lightweight Node.js service layer to preprocess data before feeding it to the AI API
- Display insights via a dynamic carousel component in the Dashboard
🔒 Security
Ensure user data passed to AI APIs is anonymized. No direct PII (Personal Identifiable Information) should be sent to any third-party API.
📅 Outcome
An adaptive, intelligent system that evolves with the user’s habits — making FinTrack feel like a personal financial coach, not just a tracker.
💡 Description
FinTrack currently provides AI-powered insights using Google Generative AI. To take it up a notch, we can enhance this feature to give context-aware, trend-based, and predictive suggestions that adapt to user spending patterns over time.
🎯 Goals
🧩 Implementation Ideas
🔒 Security
Ensure user data passed to AI APIs is anonymized. No direct PII (Personal Identifiable Information) should be sent to any third-party API.
📅 Outcome
An adaptive, intelligent system that evolves with the user’s habits — making FinTrack feel like a personal financial coach, not just a tracker.