An interactive research and learning tool for academic inquiry, built with React and Vite.
- Ideate Mode: Generate research topics and structure your initial inquiry
- Research Mode: Search and read academic papers with integrated learning modules
- Interactive Mode: Visualize and connect ideas on an infinite canvas
- Reflection Mode: Synthesize findings with AI-powered persona chats and citation management
- React 18
- Vite
- Tailwind CSS
- Lucide React (Icons)
- Google Gemini API (for AI features)
- SerpAPI (for real academic paper searches via Google Scholar)
-
Install dependencies:
npm install
-
Configure API Keys:
- Copy
.env.exampleto.env:cp .env.example .env
- Edit
.envand add your API keys:VITE_GEMINI_API_KEY: Get from Google AI StudioVITE_SERPAPI_KEY: Get from SerpAPI
- The
.envfile is already in.gitignoreand won't be committed
- Copy
-
Start development server:
npm run dev
-
Build for production:
npm run build
src/
├── components/
│ ├── ui/ # Reusable UI components
│ │ ├── Button.jsx
│ │ ├── GlassCard.jsx
│ │ └── ProfileImage.jsx
│ ├── modes/ # Main application modes
│ │ ├── IdeateMode.jsx
│ │ ├── ResearchMode.jsx
│ │ ├── InteractiveMode.jsx
│ │ └── ReflectionMode.jsx
│ ├── Header.jsx
│ ├── ChatModal.jsx
│ ├── LearningModulesSidebar.jsx
│ └── IntroductionScreen.jsx
├── constants/ # Configuration and constants
│ ├── colors.js
│ ├── nodeThemes.js
│ ├── personas.js
│ ├── reflectionPapers.js
│ └── learningModules.js
├── utils/ # Utility functions
│ └── api.js
├── App.jsx # Main application component
├── main.jsx # Application entry point
└── index.css # Global styles
For production, create a .env file:
VITE_GEMINI_API_KEY=your_gemini_api_key_here
VITE_SERPAPI_KEY=your_serpapi_key_here
The API keys are currently hardcoded in src/utils/api.js for development. For production, use environment variables for security.
- Generate research questions from broad topics
- AI-powered topic brainstorming
- Real paper searches via SerpAPI/Google Scholar (no generated content)
- View actual paper websites in embedded iframe
- Interactive reading interface with highlighting
- Integrated learning modules sidebar
- Note-taking for patterns, thesis impact, and research gaps
- Citation counts and source links
- Infinite canvas for concept mapping
- Drag-and-drop nodes
- Connect ideas with visual links
- AI-generated insights
- Multiple node types (notes, headings, charts, images)
- Literature matrix view
- Citation management
- AI persona chats (Skeptic, Visionary, Professor)
- Synthesized insights from research
MIT