CentDash is an AI personal finance application that will utilize the power of AI to help users manage their personal finances.

Tools being used for this project:

Flask – Creating the backend API and web server for handling user authentication, managing budgets and expenses, processing financial data, and connecting to the SQLite database. React.js – Developing modular, interactive UI components within Next.js to enable dynamic expense entry, budget management, and real-time data interaction. Next.js – Building the frontend framework with server-side rendering and routing to deliver fast, SEO-friendly pages and smooth navigation across budgeting, tracking, and reporting features. PyTorch – Powering the AI integration layer for building and training machine learning models that deliver personalized financial insights, spending predictions, and intelligent budget recommendations. TypeScript – Adding static typing to the React/Next.js codebase to ensure reliable data handling, reduce runtime errors, and improve developer productivity. SQLite – Providing lightweight, efficient relational data storage for user budgets, expenses, and profile data, supporting complex queries for financial reporting.

Landing Page

More updates and additions will be coming soon.