IQTransit partnered with an MIT-affiliated research initiative to build a next-generation knowledge collection and management platform. This solution combined a web application with a Chrome extension to help researchers, students, and planners collect, organize, and present information quickly and efficiently while browsing the web.

Solution Overview

The platform was designed to make research seamless by enabling users to collect links, text, images, and videos directly from the web using a browser plugin. Captured data is automatically organized into interconnected pages, intelligently grouped by context and language patterns. Our team applied IT consulting best practices to define the product roadmap, ensure scalability with AWS architecture, and integrate NLP-based features for smarter knowledge discovery.

Application: A central hub where users could

• Collect and organize links, text snippets, images, and videos
• Automatically structure content into interconnected “pages”
• Use intelligent grouping based on patterns and language context for improved search and navigation
• Maintain backlinks to original sources for citation accuracy
• Export organized research for collaboration and publishing

Browser Extension:A lightweight extension that allowed users to:

• Instantly capture information while browsing without disruption
• Send highlights, clips, and references directly to the platform
• Quickly categorize and tag information for easier retrieval
• Work offline and sync data once back online

Automation Scripts: Additionally, our team built headless automation scripts to fetch structured information from trusted research sources, enabling automatic data enrichment and reducing repetitive manual work.

Impact

• Streamlined research workflow with one-click content capture
• Improved knowledge discovery through semantic grouping and interlinked pages
• Boosted researcher productivity by reducing manual effort and duplication
• Enhanced collaboration by making research outputs easy to share and cite
• Reliable AWS-hosted infrastructure for secure, scalable performance

Technologies Used

• Backend: PHP (Laravel Framework), MySQL
• Frontend: HTML5, CSS3, JavaScript, jQuery
• AI & Language Processing: Natural Language Processing (NLP) for semantic grouping and pattern recognition
• Infrastructure: AWS EC2, RDS, S3 for scalable cloud hosting
• Integration: Chrome Extension API, automated scraping scripts

Today, the solution empowers researchers, students, and planners at MIT and beyond to explore, learn, and publish more efficiently — transforming how knowledge is collected, enriched, and shared. This project highlights IQTransit’s expertise in IT Consulting, Cloud Architecture, and Software Integration to deliver innovative solutions for research and education.