知道 (ZhiDao) Frontend - AI Research Assistant 🔍

📱 Application Screenshots

🏆 Key Features

🔎 Research Engine (Core Feature)

ZhiDao's primary feature is its powerful research engine that helps users find, analyze, and understand academic research through natural language interactions:

• Natural Language Queries: Ask research questions in plain language
• Academic Paper Search: Searches multiple academic databases simultaneously
• AI-Powered Analysis: Analyzes and synthesizes information from multiple sources
• Citation Management: Automatically tracks and displays sources for all information
• Bilingual Support: Full support for both English and Chinese languages

📰 Research Subscriptions (Bonus Feature)

As a complementary feature, ZhiDao offers personalized research subscriptions:

• Topic Subscriptions: Subscribe to research topics of interest
• Daily Digests: Receive daily updates on new research in your field
• Personalized Recommendations: Get paper recommendations based on your interests

🏆 MoonShot 48 Runner-Up

This project was developed during MoonShot 48 hackathon and received 2nd place in the competition! ZhiDao is an AI-powered research assistant that helps users find, analyze, and understand academic research through natural language interactions.

Note: This is the frontend repository for ZhiDao. The backend repository containing the proprietary algorithms is private and currently being maintained by Zigao Wang.

🚀 API Endpoints

This frontend communicates with the backend API through the following endpoints:

GET /question - Process a research question

Process a question through the research pipeline.

Query Parameters:

• query (string): The user question to be processed

Response:

• 200 OK: Returns the result object with the answer and metadata
• 400 Bad Request: Missing query parameter
• 500 Internal Server Error: Error processing the request

GET /stream-question - Process a question with streaming

Process a question with streaming updates.

Query Parameters:

• query (string): The user question to be processed

Response:

• 200 OK: Returns streaming updates and the final result object with the answer and metadata
• 400 Bad Request: Missing query parameter
• 500 Internal Server Error: Error processing the request

GET /stream-daily-digest - Get personalized research updates

Get personalized daily research digests based on subscribed topics.

Query Parameters:

• topics (string): The topics to receive research updates about

Response:

• 200 OK: Returns the personalized research digest
• 400 Bad Request: Missing topics parameter
• 500 Internal Server Error: Error generating the digest

GET /api/daily-article - Get daily article

Get a daily article based on topics.

Query Parameters:

• topics (string): The topics to receive articles about
• userId (string, optional): User identifier for personalization

Response:

• 200 OK: Returns the article
• 400 Bad Request: Missing topics parameter
• 500 Internal Server Error: Error retrieving the article

⚙️ Setup

Prerequisites

• Node.js (v14 or higher)
• npm (v6 or higher)

Installation

1. Clone this repository

   git clone https://github.com/ZigaoWang/zhidao-frontend.git
   cd zhidao-frontend
   

2. Install dependencies

   npm install
   

3. Configure environment variables

   • Copy the .env.example file to .env
   • Update the BACKEND_API_URL to point to your backend server

4. Start the server

   npm start
   

5. Open your browser and navigate to http://localhost:3001

🧰 Development

• The frontend server is implemented in server.js
• Static HTML/CSS/JS files are in the public directory
• The server proxies API requests to the backend

📄 License

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

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.