FinAI
Team Size: 3
Role: AI Engineer
Duration: 2021-06–2021-12
Tech Stack
Python
TensorFlow
Flask
React Native
MongoDB
Introduction
Project FinAI is a mobile application that uses artificial intelligence to provide personalized financial advice. It helps users make informed decisions about their spending and savings.
Key Features
- Expense Tracking: Automatically categorizes transactions and provides spending insights.
- Budget Planning: Suggests budgets based on user income and spending patterns.
- Goal Setting: Helps users set and achieve financial goals with actionable recommendations.
- AI Chatbot: Provides real-time financial advice through a conversational interface.
Technical Insights
- AI Models: Built predictive models using TensorFlow to analyze spending patterns and forecast future expenses.
- Backend: Developed a Flask API to handle user data and integrate AI functionalities.
- Mobile App: Created a cross-platform app using React Native for iOS and Android.
- Database: Used MongoDB for storing user data securely and efficiently.
Challenges and Solutions
- Data Privacy: Implemented encryption and anonymization techniques to protect user data.
- Accuracy: Trained AI models on diverse datasets to improve prediction accuracy.
- Integration: Ensured seamless integration of AI features with the mobile app.
Outcome
Project FinAI was launched on app stores and received positive feedback for its user-friendly interface and accurate financial insights. It helped users save an average of 15% on monthly expenses.