SavvySpend is a user-friendly web application that leverages artificial intelligence (AI) to empower users in managing their finances effectively. The application scans and categorizes expenditures, identifies spending patterns, and provides personalized money-saving tips. By using AI as a personal financial assistant, SavvySpend aims to empower users by providing actionable insights, personalized tips, and smart spending recommendations.
- Receipt Upload: Users upload an image of a receipt.
- Text Extraction: The text is extracted from the receipt image using OCR algorithms (npm package
tesseract.jsis used). - Item Categorization: The extracted items from the receipt are categorized by AI (OpenAI-gpt-3.5-turbo model) and stored in a MySQL table.
- Advice Generation: When a user asks for advice, SavvySpend uses the saved data to generate a pie chart of expenditure categories. With the assistance of AI, the user's shopping pattern is analyzed and four pieces of advice are generated based on the user's shopping pattern.
- Frontend: Vite.js, Tailwind CSS
- Backend: Node.js, Express.js
- Database: MySQL
- Libraries: Google Charts
- NPM Packages: express, path, multer, react-dropzone, axios, react-loader-spinner, tesseract.js, sequelize
Instructions for setting up the project locally will be added here.
Guidelines for contributing to the project will be added here.
Information about the project's license will be added here.