AI Finance Platform

Develop an AI-Powered Finance Platform with Next.js & Supabase

This project provides a complete blueprint for building a sophisticated AI finance platform. It leverages Next.js for the frontend, Supabase for the backend and database, Prisma as the ORM, and integrates with Gemini AI. The stack also includes Tailwind CSS for styling, Inngest for background jobs, ArcJet for security, and Shadcn UI for components, offering a robust foundation for financial applications.

Features:

• Next.js Framework: Leverages Next.js for robust full-stack application development.
• Supabase Integration: Utilizes Supabase for backend services including database and real-time capabilities.
• Tailwind CSS: Employs Tailwind CSS for efficient and customizable utility-first styling.
• Prisma ORM: Integrates Prisma for type-safe database access and schema management.
• Inngest for Background Jobs: Uses Inngest to handle asynchronous tasks and background processes.
• ArcJet Security: Incorporates ArcJet for enhancing application security and threat protection.
• Shadcn UI Components: Built with Shadcn UI for a modern and accessible component library.
• Gemini AI Integration: Features integration with Google's Gemini AI for advanced AI capabilities, configured via GEMINI API KEY.
• Clerk Authentication: Implements user authentication and management using Clerk, configured via CLERK SECRET KEY and related variables.
• Resend for Emails: Utilizes Resend for sending transactional emails, configured via RESEND API KEY.
• Comprehensive Environment Setup: Guided setup using a .env file for necessary API keys (e.g., DATABASE URL, ARCJET KEY) and configurations.
• Video Tutorial Available: Includes a link to a YouTube tutorial (https://youtu.be/egS6fnZAdzk) for step-by-step guidance.

Summary:

This full-stack AI finance platform template offers developers a powerful starting point using Next.js, Supabase, and an array of modern tools. It includes integrations for AI, authentication, background tasks, and UI components, all guided by a comprehensive tutorial. The project aims to accelerate the development of feature-rich financial applications with a focus on a contemporary technology stack.