https://github.com/shahnoorgit/pagemindai-context-aware-web-content-analysis

PageMindAi is an advanced web application that uses AI to scan and analyze web pages, providing interactive and context-aware responses through the LLaMA model.
https://github.com/shahnoorgit/pagemindai-context-aware-web-content-analysis

llama3 nextjs reactjs redis shadcn-ui tailwindcss upstash vector-database

Last synced: 8 days ago
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PageMindAi is an advanced web application that uses AI to scan and analyze web pages, providing interactive and context-aware responses through the LLaMA model.

• Host: GitHub
• URL: https://github.com/shahnoorgit/pagemindai-context-aware-web-content-analysis
• Owner: shahnoorgit
• Created: 2024-08-11T11:37:34.000Z (about 2 months ago)
• Default Branch: master
• Last Pushed: 2024-08-13T17:14:39.000Z (about 2 months ago)
• Last Synced: 2024-09-23T18:32:26.359Z (12 days ago)
• Topics: llama3, nextjs, reactjs, redis, shadcn-ui, tailwindcss, upstash, vector-database
• Language: TypeScript
• Homepage:
• Size: 133 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# PageMindAi

Welcome to **PageMindAi**! This cutting-edge web application leverages advanced AI to offer insightful and interactive responses based on web page content.

## Features

- **Web Page Scanning**: Efficiently extracts and analyzes content from web pages.

- **Interactive Q&A**: Provides context-aware answers to user questions about the page content.

- **Dark Mode**: A modern dark mode option for a visually comfortable experience.

- **Modern Landing Page**: A sleek and engaging landing page design.

## Powered by LLaMA Model

- **Contextual Understanding**: Delivers precise responses by understanding the context of queries.

- **Versatility**: Handles a broad range of topics and questions based on the scanned page content.

- **Performance**: Ensures fast, reliable responses for a seamless user experience.

## Technology Stack

- **Frontend**: Built with **Next.js** for a dynamic and responsive user interface.

- **Styling**: Styled using **TailwindCSS** and **ShadCN** for a modern look and feel.

- **Backend**: Utilizes **Redis** for caching, **vector-database** for efficient data storage, and the **LLaMA model** for advanced natural language processing.

## Notice

**This project is not open source.** If you are interested in using PageMindAi for commercial purposes or making a profit with it, please contact me at [[email protected]](mailto:[email protected]).