SciPar - Bridge Academic Research & Business Innovation

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What is SciPar?

SciPar is a platform that makes academic research accessible and actionable for business professionals. We eliminate the barriers between groundbreaking research and practical business applications by translating complex academic papers into clear, business-focused insights so they can contact and implement solutions that can actually transform industries, get a head start and help bring researchers their solutions to life.

Why SciPar?

• 🎯 Save Time: Stop spending hours searching through academic databases and decoding complex research papers
• 💡 Find Innovation: Discover research-backed solutions that can give your business a competitive edge
• 🤝 Expert Access: Connect directly with researchers to get implementation guidance
• 📊 Business Focus: Get summaries and insights tailored for business applications
• 🔍 Smart Search: Use natural language to find relevant papers - just like talking to a colleague

How It Works

1. Discover: Explain your business challenge in plain English
2. Understand: Get AI-powered summaries focused on practical applications
3. Connect: Reach out to researchers for expert implementation guidance

Core Features

• 🧠 Intuitive natural language paper search
• 📝 Paper summaries adapted to your needs
• 👥 Researcher communication platform
• 💼 Industry-specific paper recommendations

Tech Stack

Frontend

• React with TypeScript
• Tailwind CSS for styling
• Framer Motion for animations

Backend

• FastAPI (Python)
• SQLite for paper database
• OpenAI integration

Setup Instructions

Prerequisites

• Node.js (v16 or higher)
• Python 3.9+
• Docker (optional, for containerization)

Frontend Setup

cd frontend npm install npm start

Backend Setup

cd backend python -m venv venv source venv/bin/activate # On Windows: .\venv\Scripts\activate pip install -r requirements.txt uvicorn app.main:app --host 0.0.0.0 --port 8080

Environment Variables

Create a .env file in the backend directory with: OPENAI_API_KEY=your_openai_api_key to be able to use the OpenAI API and features we implemented.

When running locally

Change the API_BASE_URL in the frontend/src/services/paperApi.ts file to http://localhost:8080

Contributing

We welcome contributions! Feel free to submit issues and pull requests, believe that together we may find the best solutions to make research more accessible and actionable.

If you find this project useful, please consider giving it a star ⭐

This repository is a cleaner version of the original one, developed on a hackathon, because it was pretty messy :)