An intelligent AI-powered research assistant built with modern web technologies, leveraging OpenAI's language models to provide contextual, conversational research support.

AI Research Bot is a sophisticated web application that serves as an intelligent research companion. Built with a focus on developer experience and performance, it combines the power of OpenAI's GPT models with a responsive React-based interface to deliver real-time, context-aware research assistance.

• 🧠 Intelligent Conversations: Powered by OpenAI's advanced language models for accurate, contextual responses
• ⚡ Lightning-Fast Performance: Built on Vite for instant hot module replacement and optimized builds
• 🎨 Modern UI/UX: Clean, intuitive interface designed for seamless research workflows
• 🔒 Type-Safe Development: Full TypeScript implementation ensures code reliability and maintainability
• 💬 Conversational Interface: Natural language processing for intuitive research queries
• 📱 Responsive Design: Seamless experience across desktop, tablet, and mobile devices

• React 18 - Modern component-based UI library
• TypeScript - Type-safe JavaScript for robust code
• Vite - Next-generation frontend build tool
• ESLint - Code quality and consistency enforcement

• OpenAI API - GPT-powered language model integration
• Natural Language Processing - Advanced query understanding and response generation

• Hot Module Replacement (HMR) - Instant feedback during development
• Fast Refresh - Preserve component state during updates
• Modern ES Modules - Optimized code splitting and loading

• Node.js (v16.x or higher)
• npm or yarn package manager
• OpenAI API key

1. Clone the repository

   git clone https://github.com/brogrammer2000/AI_Research_Bot.git
   cd AI_Research_Bot

2. Install dependencies

   npm install

3. Configure environment variables

   # Create a .env file in the root directory
   VITE_OPENAI_API_KEY=your_openai_api_key_here

4. Start the development server

   npm run dev

5. Open your browser

   Navigate to http://localhost:5173
   

npm run dev          # Start development server with HMR
npm run build        # Create production build
npm run preview      # Preview production build locally
npm run lint         # Run ESLint for code quality checks

AI_Research_Bot/
├── src/
│   ├── components/      # React components
│   ├── services/        # API and business logic
│   ├── types/           # TypeScript type definitions
│   ├── utils/           # Utility functions
│   ├── App.tsx          # Main application component
│   └── main.tsx         # Application entry point
├── public/              # Static assets
├── index.html           # HTML template
├── vite.config.ts       # Vite configuration
├── tsconfig.json        # TypeScript configuration
└── package.json         # Project dependencies

• Academic Research: Quickly gather information on complex topics
• Literature Review: Summarize and synthesize research papers
• Information Synthesis: Combine multiple sources into coherent insights
• Question Answering: Get detailed explanations on technical subjects
• Brainstorming: Generate ideas and explore research directions

• ✅ Environment variables for sensitive API keys
• ✅ Type-safe code with comprehensive TypeScript coverage
• ✅ ESLint integration for code quality standards
• ✅ Production-ready build optimization
• ✅ Client-side API key management (never exposed in builds)

• Add conversation history persistence
• Implement multi-model support (GPT-4, Claude, etc.)
• Add citation tracking and reference management
• Implement advanced search filters
• Add export functionality (PDF, Markdown)
• Dark mode support
• Multi-language support

Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

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

brogrammer2000

• Portfolio: https://satyamarora.dev

If you encounter any issues or have questions, please:

• Open an issue on GitHub
• Check existing issues for solutions
• Review the documentation