Mohammad Ibrahim
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Duolingo AI Assistant – Chrome Extension Powered by ChatGPT & Gemini (Hackathon Project)

A Chrome extension built during a hackathon that integrates ChatGPT and Gemini APIs to provide real-time AI assistance inside Duolingo. It helps users understand grammar, translate sentences, and get instant explanations without leaving the page.

Duolingo AI Assistant – Chrome Extension Powered by ChatGPT & Gemini (Hackathon Project)

🚀 Overview

This project is a Chrome extension-based AI assistant built during a hackathon to enhance the Duolingo learning experience.

It integrates ChatGPT and Gemini APIs to provide real-time explanations, translations, and grammar support directly inside the Duolingo interface.

Instead of switching tabs or searching externally, users receive instant AI-powered assistance within the same learning flow.


🧠 Problem Statement

Language learners often face challenges such as:

  • Difficulty understanding grammar rules in context
  • Slow translation of sentences during exercises
  • Lack of immediate explanations for answers
  • Disruption caused by switching between apps or search engines

This creates friction and slows down the learning process.


💡 Solution

The extension solves this by acting as a real-time AI learning companion inside Duolingo:

  • Detects exercise questions and user-selected text
  • Sends contextual prompts to ChatGPT or Gemini APIs
  • Generates instant explanations or translations
  • Displays results in a lightweight overlay UI

This keeps the learning experience uninterrupted and interactive.


⚙️ Key Features

🤖 Multi-Model AI Support

  • ChatGPT (OpenAI API)
  • Gemini (Google AI API)
  • Smart fallback between models for reliability

🧠 Context-Aware Understanding

  • Extracts text from Duolingo exercises
  • Understands selected sentences or words
  • Builds structured prompts based on context

🪄 In-Browser AI Overlay

  • Floating assistant panel inside Duolingo
  • Non-intrusive UI design
  • Instant answer rendering without page reload

⚡ Fast & Lightweight Architecture

  • Async background processing
  • Optimized API requests
  • Minimal impact on page performance

🧰 Tech Stack

  • Chrome Extension (Manifest V3)
  • JavaScript / TypeScript
  • OpenAI ChatGPT API
  • Google Gemini API
  • HTML, CSS (UI overlay)
  • Chrome Content Scripts + Service Worker architecture

🏗 Architecture

The system is built using a modular Chrome extension design:

  • Content Script → Extracts page content and user interaction
  • Background Service Worker → Handles API communication
  • AI Layer → Processes prompts via ChatGPT / Gemini
  • UI Layer → Renders responses inside an overlay panel

🚧 Challenges & Solutions

🌐 Context Extraction from Duolingo UI

Duolingo dynamically changes DOM structure, making extraction tricky.

Solution: Implemented flexible DOM selectors and prioritized user-selected text for accuracy.


⚡ API Latency Management

AI responses can introduce delay during exercises.

Solution: Used asynchronous requests with loading states and lightweight caching.


🧩 Chrome Manifest V3 Limitations

Service worker lifecycle restrictions impacted continuous processing.

Solution: Split logic between content scripts and background worker for stability.


📌 Outcome

The final product is a real-time AI-powered learning assistant for Duolingo, improving language learning efficiency by providing instant explanations and translations directly inside the platform.


🏁 Hackathon Impact

This project demonstrates:

  • AI integration (ChatGPT + Gemini APIs)
  • Chrome extension development (Manifest V3)
  • Real-time context-aware systems
  • UX overlay engineering
  • Product-focused rapid prototyping

💬 Final Note

This hackathon project showcases how AI can seamlessly enhance existing learning platforms by acting as an intelligent layer on top of them, without modifying the core application.

Chrome Extension
JavaScript
TypeScript
OpenAI API
Gemini API
Manifest V3

Stages

🚀 Overview🧠 Problem Statement💡 Solution⚙️ Key Features🧰 Tech Stack🏗 Architecture🚧 Challenges & Solutions📌 Outcome🏁 Hackathon Impact💬 Final Note