ScholarSearch - AI-Powered Academic Search

ScholarSearch is a Next.js application that leverages Google's Gemini AI to provide intelligent academic search results. The application allows users to search for scholarly articles, research papers, and other academic resources.

Features

• AI-powered search using Google's Gemini API
• Academic content discovery
• Filter results by content type
• Modern UI with dark/light mode support

Getting Started

Prerequisites

• Node.js 16.x or higher
• npm or yarn
• Google Gemini API key

Installation

1. Clone the repository
2. Install dependencies:

npm install
# or
yarn install

3. Set up environment variables:
   • Copy .env.local.example to .env.local
   • Add your Gemini API key to .env.local

NEXT_PUBLIC_GEMINI_API_KEY=your_api_key_here

4. Run the development server:

npm run dev
# or
yarn dev

5. Open http://localhost:3000 in your browser

How to Get a Gemini API Key

1. Go to Google AI Studio
2. Sign in with your Google account
3. Create a new API key
4. Copy the API key and add it to your .env.local file

Usage

1. Enter a search query in the search bar
2. View the AI-generated search results
3. Filter results by content type using the tabs
4. Click on results to view the source or download content

Technologies Used

• Next.js
• React
• TypeScript
• Tailwind CSS
• Google Gemini AI
• shadcn/ui components

License

This project is licensed under the MIT License.