AceAI

AceAI is a full-stack AI-powered application built with a Next.js frontend and a FastAPI backend. It provides features like document processing, AI-driven chat, quiz generation, note-taking, and web search.

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Features

• Document Upload: Upload documents (e.g., PDFs, text files) for AI processing.
• AI-Powered Chat: Chat with context derived from uploaded documents.
• Quiz and Notes Generation: Generate quizzes and notes from document content.
• Web Search Agent: Perform web searches with AI-generated responses.
• RAG (Retrieval Augmented Generation): Use AI to generate responses with context retrieval.

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Project Structure

project-root/
├── app/                    # FastAPI backend
│   ├── core/               # Configurations and dependencies
│   ├── routers/            # API routes
│   ├── services/           # Business logic
│   ├── main.py             # FastAPI entry point
│   ├── requirements.txt    # Backend dependencies
├── app/                  # Next.js frontend routing
├── public/                 # Public assets (images, icons, etc.)
├── components/             # Reusable UI components
├── styles/                 # CSS for styling
├── next.config.js          # Next.js configuration
├── package.json            # Frontend dependencies and scripts
├── .env                    # Environment variables
└── README.md               # Documentation

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Getting Started

Backend (FastAPI)

1. Navigate to the backend directory:

   cd api

2. Create and activate a virtual environment:

   python3 -m venv venv
   source venv/bin/activate  # For Windows: venv\Scripts\activate

3. Install backend dependencies:

   pip install -r requirements.txt

4. Start the backend server:

   uvicorn app.main:app --reload

   The backend will run at http://127.0.0.1:8000.

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Frontend (Next.js)

1. Install frontend dependencies:

   npm install

2. Start the Next.js development server:

   npm run dev

   The frontend will run at http://localhost:3000.

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Environment Variables

Backend .env

Create a .env file in the root directory with the following variables:

OPENAI_API_KEY=your_openai_api_key
SERPAPI_API_KEY=your_serpapi_api_key
UPLOAD_DIRECTORY=uploads/

Frontend .env

Create a .env file in the root directory with:

NEXT_PUBLIC_BACKEND_URL=http://127.0.0.1:8000/

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Deployment

Vercel (Frontend and Backend)

1. Frontend: Deploy the Next.js app using the Vercel CLI:

   vercel --prod

2. Backend: Configure vercel.json in the api/ directory:

   {
     "builds": [
       {
         "src": "main.py",
         "use": "@vercel/python"
       }
     ],
     "routes": [
       {
         "src": "/(.*)",
         "dest": "main.py"
       }
     ]
   }

   Deploy the FastAPI backend:

   vercel --prod