A web application that allows users to search through research papers using semantic search capabilities. The application consists of a Flask backend API and a React frontend.

.
├── frontend/           # React frontend application
├── search_api/        # Flask backend API
└── data/             # Data storage directory

1. Install Python dependencies:

pip install flask flask-cors sentence-transformers huggingface-hub==0.16.4

2. Start the Flask server:

python search_api/app.py

The API will be available at http://localhost:5000.

1. Navigate to the frontend directory:

cd frontend

2. Install dependencies:

npm install

3. Start the development server:

npm start

The application will be available at http://localhost:3000.

• Semantic search through research papers
• Real-time search results
• Paper details including title, authors, and abstract
• Links to full papers
• Modern, responsive UI

• Backend:

  • Flask (Python web framework)
  • sentence-transformers (for semantic search)
  • CORS support

• Frontend:

  • React
  • Tailwind CSS
  • Modern ES6+ JavaScript

Search for papers based on a query string.

Request body:

{
  "query": "your search query"
}

Response:

{
  "results": [
    {
      "title": "Paper Title",
      "authors": "Author Names",
      "abstract": "Paper Abstract",
      "year": 2023,
      "url": "https://example.com/paper"
    }
  ],
  "count": 1
}