Figart AI Web Demo Version An interactive platform designed to learn photography through AI guidance, tutorials, and community feedback. App version is under deployment - product for Moonshot 48 hackathon (March 2025, Beijing).

Key Features

Interactive Photography Tutorial

Learn to frame the perfect shot by practicing on real-world scenes. Drag a phone-shaped frame across landscape images to find the optimal composition, then compare your choices with AI recommendations and community favorites.

Tutorial Demo: Practice framing the perfect shot

AI Photography Assistant

Our AI analyzes images to identify the most aesthetically pleasing compositions based on the following workflow:

AI Tool Demo

Photography Community

Share your work, receive constructive feedback, and engage with fellow photographers. This community helps you grow while the AI provides personalized suggestions for improvement.

Community Demo

Getting Started

Prerequisites

• Node.js 18+
• MongoDB (local or Atlas)
• API keys for AI services

Quick Setup

1. Clone the repository

   git clone https://github.com/yourusername/figart-ai.git
   cd figart-ai
   

2. Install dependencies

   npm install
   

3. Set up environment variables Create a .env.local file with the necessary configuration:

   MONGODB_URI=your_mongodb_connection_string
   NEXTAUTH_URL=http://localhost:3000
   NEXTAUTH_SECRET=your_nextauth_secret
   HUGGINGFACE_API_KEY=your_huggingface_key
   OPENAI_API_KEY=your_openai_key
   

4. Start the development server

   npm run dev
   

5. Open your browser Navigate to http://localhost:3000

6. For community features in local environment To use the community feature with others in a local environment, run the following command:

   uvicorn api_main:app
   

Technology Stack

• Frontend: Next.js, React, TypeScript, Tailwind CSS
• AI Services: OpenAI API, Hugging Face Models
• Backend: Node.js, MongoDB
• Authentication: NextAuth.js

Why Figart AI?

• Learn by Doing: Interactive tutorials that simulate real phone photography
• AI-Powered Guidance: Get instant feedback based on professional photography principles
• Community Support: Learn from peers and grow together in a supportive environment
• Practical Skills: Develop techniques you can apply immediately to your photography

How It Works

1. Tutorial Mode: Practice finding the best frame in landscape photos
2. AI Analysis: Our algorithms evaluate compositions based on multiple factors:
   • Rule of thirds
   • Subject placement
   • Leading lines
   • Visual balance
   • Color harmony
3. Community Interaction: Share your frames, view popular choices, and receive feedback

License

This project is licensed under the MIT License - see the LICENSE file for details.