AI Loan Sales Platform

This project is a full-stack AI Loan Sales Platform designed to streamline the loan application process using a conversational AI, document processing, and a robust backend. The platform leverages a multi-agent system to guide users, process their documents via OCR, and manage the loan application workflow.

Features

• Conversational AI: A multi-agent system (MasterAgent, SalesAgent, UnderwritingAgent, etc.) guides users through the loan application process.
• Document Upload and OCR: Users can upload necessary documents, which are then processed using OCR for data extraction.
• User Authentication: Secure user login and registration.
• Loan Application Management: Track the status and details of loan applications.
• Modular Backend: Built with FastAPI, providing a clear separation of concerns.
• Modern Frontend: Developed with Next.js and React for a dynamic user experience.

Architecture

The project follows a client-server architecture:

• Frontend: A Next.js application built with React, responsible for the user interface and interacting with the backend API.
• Backend: A FastAPI application developed in Python, handling business logic, database interactions, AI agent orchestration, and document processing. It uses PostgreSQL as its database.
• Database: PostgreSQL for storing application data.
• Containerization: The backend services are containerized using Docker and managed with Docker Compose.

Setup and Installation

Follow these steps to set up and run the project locally:

Prerequisites

• Docker and Docker Compose
• Node.js and npm (for frontend)
• Python 3.9+ (for backend development, though Docker is preferred for running)

Backend Setup

1. Navigate to the backend directory:

   cd loan-ai-app/backend

2. Create a .env file based on .env.example and fill in the necessary environment variables, especially ANTHROPIC_API_KEY.

   cp .env.example .env

3. Build and run the Docker containers:

   docker-compose up --build

   This will start the FastAPI backend and the PostgreSQL database. The backend will be accessible at http://localhost:8000.

Frontend Setup

1. Navigate to the frontend directory:

   cd loan-ai-app/frontend

2. Install the dependencies:

   npm install

3. Start the development server:

   npm run dev

   The frontend application will be accessible at http://localhost:3000.

Usage

1. Access the frontend application in your browser at http://localhost:3000.
2. Register a new user account or log in if you already have one.
3. Follow the conversational AI prompts to start a loan application.
4. Upload required documents when prompted. The system will use OCR to extract information.
5. Monitor the status of your loan application through the dashboard.

Environment Variables

Backend (loan-ai-app/backend/.env)

• ANTHROPIC_API_KEY: Your API key for the Anthropic AI service, crucial for the conversational agents.
• DATABASE_URL: Connection string for the PostgreSQL database (e.g., postgresql://user:password@db:5432/dbname).
• Other variables as specified in .env.example for database credentials and application settings.

Frontend (loan-ai-app/frontend/.env.local - or similar for Next.js)

• NEXT_PUBLIC_BACKEND_URL: The URL of your backend API (e.g., http://localhost:8000).