AI for connectivity hackathon 

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Our AI tool optimizes bandwidth in institutions ensuring access to tailored resources for students. 

LibAI

Naira

Rouaa

hoangakashi

raktim

habibkhan004

The long-term vision for LibAI is to create an adaptable, AI-powered platform that revolutionizes content management and user interaction. Built with Next.js, Supabase, ShadCN, and Tailwind CSS, LibAI emphasizes efficient user management, dynamic content delivery, and seamless adaptability based on internet speed. The platform will incorporate Retrieval-Augmented Generation (RAG)-based query capabilities, allowing users to access relevant, AI-generated responses from vast datasets.

Additionally, LibAI will support collaborative features like note sharing among students, enhancing the educational experience. The platform will also include intelligent filtering systems to detect and remove unwanted, negative, or harmful material, ensuring a safe and positive learning environment.

The project’s ultimate goal is to integrate personalized, AI-driven content recommendations, expand external API integrations, and provide robust collaboration tools for educational institutions and organizations. LibAI aims to bridge the digital divide, offering equitable access to resources and fostering an innovative, collaborative, and secure learning space for schools and communities.

Optimizing content delivery for students based on the students internet connectivity and their preferences.

"LibAI team on AI for connectivity hackathon Hackathon"

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