The project aims to develop an AI-powered financial assistant to help young adults manage impulse spending and build savings discipline. It uses mock financial data to classify expenses into needs and wants, and delivers real-time nudges (like alerts and gamified savings suggestions) to modify behavior.
Privacy is ensured through basic encryption, and users can choose to opt out of tracking. The solution will be a WhatsApp-based chatbot or a lightweight web/app interface, powered by simple Python models or TensorFlow/PyTorch for expense classification.
Expected Deliverables:
A functional chatbot/web app giving personalized nudges and savings insights.
A short user testing report showing improvement in spending behavior.
Built With
- aiintegration
- ejs
- express.js
- html
- javascript
- mongodb
- node.js
- tailwindcss
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