GitHub

Gemini Search Project Description

What is the project about?

Gemini Search is a search engine similar to Perplexity, leveraging AI to provide answers grounded in real-time web search results.

What problem does it solve?

It provides users with AI-powered answers to their queries, complete with citations and references from the web, making information retrieval more efficient and reliable. It combines the power of AI language models with the breadth of traditional search engines.

What are the features of the project?

  • Real-time web search integration.
  • AI-powered answers using Google's Gemini 2.0 Flash model.
  • Source citations and references.
  • Follow-up questions within the same chat session.
  • Clean and modern user interface.
  • Fast response times.

What are the technologies used in the project?

  • Frontend: React, Vite, TypeScript, Tailwind CSS.
  • Backend: Express.js, TypeScript.
  • AI: Google Gemini 2.0 Flash API.
  • Search: Google Search API.

What are the benefits of the project?

  • Provides concise, AI-generated answers.
  • Offers transparency through source citations.
  • Delivers fast and efficient search results.
  • User-friendly interface.
  • Combines AI with up-to-date web information.

What are the use cases of the project?

  • Quickly finding answers to questions.
  • Researching topics with verifiable sources.
  • Getting summarized information from multiple web pages.
  • General knowledge exploration.
  • Any situation where a user needs concise, AI-powered answers backed by web sources.
Gemini-Search screenshot