Nehru: A Cinematic Discovery of India Experience

This project is an immersive web application designed to bring Jawaharlal Nehru's "The Discovery of India" to life. It features a narrative-driven experience, ambient audio, and an interactive AI-powered Q&A system where users can converse with a digital persona of Nehru about his writings and philosophy.

Features

• Immersive Narrative: A guided multi-scene experience with visual storytelling and smooth transitions.
• Interactive Q&A: Ask questions directly to an AI model trained on the context of "The Discovery of India".
• AI Persona: The AI response is styled to reflect Nehru's articulation, vocabulary, and philosophical outlook.
• Text-to-Speech (TTS): Listens to the AI's responses using browser-native speech synthesis.
• Responsive Design: Optimized for various screen sizes with a clean, modern interface.
• Dynamic Content: Processes raw text from the book to provide accurate, source-based answers.

Tech Stack

• Frontend Framework: React 18 with TypeScript
• Build Tool: Vite
• Styling: Tailwind CSS
• Animations: Framer Motion
• AI Integration: Google Generative AI SDK (Gemini API)
• Icons: Lucide React

Prerequisites

Before running the project, ensure you have the following:

• Node.js (v18 or higher)
• npm or yarn
• A Google Gemini API Key

Installation

1. Clone the repository:

   git clone <repository-url>
   cd nehru

2. Install dependencies:

   npm install

3. Create a .env file in the root directory and add your Gemini API key:

   VITE_GEMINI_API_KEY=your_api_key_here

Usage

1. Start the development server:

   npm run dev

2. Open your browser and navigate to http://localhost:5173 (or the port shown in your terminal).

3. Experience the intro scenes or skip to the main interface.

4. In the "Ask Nehru" section, select a suggested topic or type your own question about Indian history or "The Discovery of India".

Project Structure

• src/components: React components for different scenes (Scene0, Scene1, MainScene, etc.)
• src/hooks: Custom hooks for Audio and TTS.
• src/services: API integration services (Gemini).
• src/utils: Helper functions for text processing and search logic.
• src/data: Static data and raw text content.

License

This project is open source and available under the MIT License.