A modern expense sharing and financial tracking application with AI-powered insights.
Shaire is a comprehensive expense-sharing application designed to simplify group expenses, track personal finances, and provide AI-powered insights for better financial management. Split bills with friends, track group expenses, and visualize your spending patterns - all in one intuitive app.
- Group Expense Management: Create groups and track shared expenses
- Friend-to-Friend Expense Sharing: Split expenses between individuals
- Receipt Scanning: Capture receipts to automatically input expenses
- Bill Itemization: Split individual items on a bill among different people
- Multiple Payment Methods: Track payments through various methods
- Balance Tracking: See who owes what at a glance
- Real-time Notifications: Stay updated on expense activities
- Smart Receipt OCR: Extract items, prices, and merchant details from receipt photos
- Expense Categorization: Automatically classify expenses based on descriptions
- Predictive Spending Analysis: ML models forecast future spending based on past patterns
- Personalized Insights: Get AI-generated insights about spending habits
- Daily/Weekly/Monthly Predictions: View forecasted expense amounts for upcoming periods
- Category-based Spending Analysis: See where your money goes with smart categorization
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Shaire is built using:
- Flutter: Cross-platform UI framework using Dart programming Language.
- Supabase: Backend-as-a-Service for authentication, PostgreSQL database, and storage
- Provider: State management
- Machine Learning: Custom models trained using TensorFlow and Scikit-Learn for expense prediction and categorization
- Gemini API: For receipt processing and data extraction
The application uses a relational database with the following key entities:
- Users & Profiles
- Friendships
- Groups & Group Members
- Expenses & Expense Participants
- Payments
- Receipts
- Analytics & Predictions
Our machine learning features are powered by:
- Time Series Analysis: For spending predictions
- Natural Language Processing: For expense categorization based on descriptions
- Computer Vision: For receipt processing and information extraction
- Clustering Algorithms: For spending pattern analysis
- Flutter SDK
- Supabase account
- Gemini API key
- Clone the repository:
git clone https://github.com/yourusername/shaire.git
cd shaire- Install dependencies:
flutter pub get-
Configure environment variables for Supabase and Gemini API
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Run the app:
flutter runExecute the SQL scripts in the database folder to create the necessary:
- Tables
- Stored procedures
- RLS policies
- Triggers
- Advanced ML Models: Enhanced prediction accuracy
- Budget Management: Set and track spending limits
- Debt Consolidation: Simplify multiple debts between friends
- Integration with Payment Services: Direct settlement via payment apps
- Social Features: Comments and reactions on expenses
Contributions are welcome! Please feel free to submit a Pull Request.
This project is licensed under the MIT License - see the LICENSE file for details.
*Made with ❤️ by Team VCRAM*