DumpStore Frontend - REACT(TS)
DumpStore Backend - EXPRESS(TS) / PYTHON / DOCKER / SCRAPPER
DumpStore Chrome Extension - HTML / REACT(TS) / WebPack
🔖 What’s it all about? \ Tired of losing track of important links? Our bookmark tool helps you organize, customize, and keep your web life on track with these awesome features:
Import Chrome Bookmarks: Seamlessly bring over all your saved links.Drag-and-Drop: Easily reorder your bookmarks with a simple drag.Customization: Use tags and topics to categorize your bookmarks.Automatic Generation: Let our tool generate tags, topics, and descriptions for your bookmarks using the Gemini API / Hugging Face(BERT)!Custom Images: Upload your own images for your bookmarks instead of relying on default favicons.Chrome Extension: Search and add bookmarks right from your browser.
This project aims to develop a powerful bookmark manager with the following innovative features. Below is the feature list with estimated timelines and checkboxes to track development progress.
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AI-Powered Content Summarization
- Implementation: Integrate NLP libraries (e.g., Hugging Face Transformers or OpenAI's API) to generate summaries when users bookmark lengthy content.
- Task: Implement AI-Powered Content Summarization
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Contextual Recommendations Based on Current Workflow
- Implementation: Track user browsing behavior (with permission) to suggest relevant content. Use algorithms for real-time recommendations based on saved bookmarks and browsing activity.
- Task: Implement Contextual Recommendations Based on Current Workflow
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Semantic Search Across Bookmarks and Notes
- Implementation: Implement semantic search using vector embeddings (e.g., BERT or SBERT) for meaningful query results. Use a library like Elasticsearch.
- Task: Implement Semantic Search Across Bookmarks and Notes
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Collaborative Bookmarking and Notes
- Implementation: Set up a sharing mechanism with permissions, allowing users to comment and contribute notes on shared bookmarks. Use Socket.IO for real-time updates.
- Task: Implement Collaborative Bookmarking and Notes
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Time-Sensitive Bookmark Reminders
- Implementation: Allow users to set reminders for bookmarks with notifications using cron jobs or a task scheduler like Agenda.
- Task: Implement Time-Sensitive Bookmark Reminders
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Offline Access with AI Caching
- Implementation: Store content for offline access using local storage or IndexedDB and implement caching for summarization and indexing.
- Task: Implement Offline Access with AI Caching
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Interactive Visual Bookmark Explorer
- Implementation: Create a graph visualization of bookmarks using libraries like D3.js or Vis.js, allowing users to explore connections.
- Task: Implement Interactive Visual Bookmark Explorer
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Version Control for Notes and Bookmarks
- Implementation: Track changes in notes and bookmarks, allowing users to view history and revert changes. You may need a diff algorithm for this.
- Task: Implement Version Control for Notes and Bookmarks
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Dynamic Bookmark Organization with Tags and AI-Categorization
- Implementation: Use AI to automatically tag and categorize bookmarks based on content analysis. Manual adjustment options should also be available.
- Task: Implement Dynamic Bookmark Organization with Tags and AI-Categorization
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Sentiment Analysis for Saved Content
- Implementation: Use sentiment analysis models to evaluate the tone of articles and provide insights. Display results visually.
- Task: Implement Sentiment Analysis for Saved Content
- Smart Highlights and Takeaways
- Implementation: Enable users to highlight sections and generate takeaways. Store highlights and annotations in the database.
- Task: Implement Smart Highlights and Takeaways
Tracking Progress:
Check off the tasks as you complete each feature.