MOHAMEDFAIZN/digital-divide-low-resource-ai

Offline AI education platform for low-resource learners using Ollama, WebLLM, React & Edge AI. # 🌐 Offline AI Chatbot — Low-Resource AI for Everyone **A fully offline AI chatbot platform built to close the Digital Divide — running powerful language models locally on any device, with zero internet dependency.** 🚀 Quick Start · 📖 How It Works · 🛠️ Tech Stack · 🗺️ Roadmap --- ## 🎯 Project Overview **Offline AI Chatbot** is a full-stack AI chat application that enables students, educators, and users in low-resource environments to interact with large language models **entirely offline** — no cloud subscription, no high-speed internet, no data privacy concerns. It supports **two AI inference modes**: - **Ollama** — runs local LLMs natively on device through a backend Express server - **WebLLM** — executes AI models directly in the browser using WebGPU, with no server required Built as part of the **"Digital Divide 2.0: Low-Resource AI"** academic initiative by **Team Dev Vengers**, this platform addresses a critical equity gap: most AI tools today require high-end hardware and reliable internet — leaving behind rural students, low-income learners, and schools in under-served communities. --- ## ❗ Problem Statement The modern AI revolution is creating a new kind of inequality — the **AI Intelligence Gap**: - 🌐 Most AI tools require **high-speed internet** and **cloud-based processing** - 💻 Leading AI platforms demand **high-end hardware** that most students cannot afford - 🏫 Schools in rural or low-income areas are systematically **excluded from AI-powered education** - 🔒 Cloud AI tools raise **privacy concerns** about student data sent to third-party servers While AI-enabled students surge ahead, millions of learners are left behind — not because of lack of intelligence, but because of lack of access. --- ## ✅ Proposed Solution An open-source, **fully offline AI chatbot platform** that: - Runs **state-of-the-art LLMs locally** on the user's own device - Works in **zero-internet environments** — no Wi-Fi, no data plan needed - Supports …