Webster

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  Project UI

Inspiration

The inspiration behind Webster was to simplify web browsing by integrating AI directly into the browser. We wanted to create a tool that could save time, boost productivity, and provide a seamless way to extract and interact with web content.

What it does

Webster uses an inbuilt AI model to summarize web pages and engage in conversations. It provides concise summaries of long articles or blogs and allows users to ask questions or discuss topics with the AI in real-time.

How we built it

Webster was built using Chrome’s extension APIs for integration, JavaScript for core functionalities, and HTML/CSS for the user interface. The AI model powers the summarization and conversational features, while the extension’s backend handles content extraction and interaction.

Challenges we ran into

• Extracting meaningful content from diverse web page structures.
  
• Managing efficient communication between the AI model and the browser extension.
  

Accomplishments that we're proud of

• Successfully integrating an AI model into a lightweight and easy-to-use Chrome extension.
  
• Building a robust summarization feature that works across various types of web content.
  
• Designing a clean and minimal interface that enhances user experience.

What we learned

We learned the intricacies of Chrome extension development, optimizing content extraction, and integrating AI functionalities within browser limitations. We also deepened our understanding of user-centered design.

What's next for Webster

• Adding support for multilingual summarization.
• Translating the page into multiple languages
  
• Enhancing conversational AI capabilities with more context-aware interactions.
  

Built With

• css
• html
• javascript