AI Research Tool

A web-based tool for analyzing research papers using Google Gemini AI. Load papers from arXiv or Archive.org and chat with an AI assistant about their content.

Features

• 📄 Load research papers from arXiv URLs (automatically fetches metadata)
• 🔍 Archive.org document support
• 💬 Chat interface with paper context
• 🧠 Powered by Google Gemini Flash 2.0

Setup

For Production (GitHub Pages)

1. Add your Gemini API key to GitHub Secrets:

   • Go to your repository Settings → Secrets and variables → Actions
   • Click "New repository secret"
   • Name: GEMINI_API_KEY
   • Value: Your Google Gemini API key

2. Enable GitHub Pages:

   • Go to Settings → Pages
   • Source: GitHub Actions
   • The workflow will automatically deploy on push to main

For Local Development

1. Get a Gemini API key:

   • Visit Google AI Studio
   • Create a new API key

2. Set up local config:

   cp assets/js/config.template.js assets/js/config.js

3. Edit config.js:

   window.CONFIG = {
     GEMINI_API_KEY: "your-actual-api-key-here"
   };

4. Serve locally:

   • Use VS Code Live Server extension, or
   • Python: python -m http.server 8000
   • Node.js: npx serve .

Usage

1. Load a paper: Enter an arXiv URL (e.g., https://arxiv.org/abs/2301.07041)
2. Start chatting: Ask questions about the paper or general research topics
3. Deep analysis: Copy-paste specific sections from PDFs for detailed analysis

Security

• API keys are stored in GitHub Secrets (production)
• Local config files are gitignored
• No API keys are exposed in the deployed code

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Submit a pull request