An intelligent search assistant that combines Google's powerful search engine with Gemini 1.5 Pro's summarization capabilities to deliver concise, relevant, and context-aware results. This project simplifies information retrieval by eliminating noise, extracting key insights, and enhancing productivity across domains.
- Google Custom Search API integration for real-time, ranked web results.
- Gemini 1.5 Pro API summarization for extracting key points and context.
- Next.js + TypeScript + Tailwind CSS for a fast, responsive UI.
- Delivers concise, user-friendly summaries from top search results.
- Designed to reduce information overload, save time, and highlight relevance.
- Frontend: Next.js, TypeScript, Tailwind CSS
- APIs: Google Custom Search API, Gemini 1.5 Pro Flash
- Deployment: Vercel (or your preferred platform)
- User Input: User enters a natural language query.
- Search Phase: Query is sent to Google Custom Search API.
- Result Filtering: Top 10 (can be configured to retrieve more) relevant links are fetched.
- Summarization Phase: Results are sent to Gemini 1.5 Pro Flash for summarization.
- Output: Concise, readable summary is shown to the user.
- Multi-modal support: voice, images, video summarization
- Personalized summaries with user profiles
- Domain-specific tuning (e.g., medical, legal, financial)
- Knowledge graph visualization and entity linking
- Real-time alerts and auto-clustering of new content
- Citation-based summarization with bias detection
- Browser extensions and mobile SDKs
- Analytics dashboards and decision-making tools
git clone https://github.com/kautilyadevaraj/AI-Powered-Search-Assistant
cd ai-search-assistant
npm install
npm run devThis project is for academic demonstration purposes. Reach out to me for reuse or collaboration.