#Introduction to AI and Web Automation
*Brief overview of how AI is transforming the web.
*Introduction to web automation and personalization with AI.
*Real-world examples of AI-powered browser extensions and web tools.
#Edge Functions (like Vercel Edge)
*Explanation of serverless edge computing and its significance in modern web applications
*how Edge Functions bring AI computation closer to users, reducing latency and improving the speed of real-time interactions.
*Real-world use cases: Automated content personalization (e.g., tailored product recommendations) and real-time web interactions (e.g., auto-updating dashboards).
*[demo] Implementing a simple Edge Function for real-time content modification based on user interactions.
#WebGPU: Bringing High-Performance AI to the Browser
*Introduction to WebGPU, a modern web API that enables GPU acceleration for high-performance computing directly in the browser.
*Explanation of how WebGPU can be leveraged for real-time machine learning tasks, such as image recognition or complex visualizations.
*Use Cases: Running AI models in-browser for tasks like real-time object detection, image filtering, or augmented reality experiences.
*[Demo] Running a pre-trained ML model in-browser with WebGPU for real-time content analysis or modification (e.g., detecting objects in a video stream).
#LangChain for AI-Powered Web Automation
*how LangChain simplifies the development of intelligent web agents that can interact with websites, summarize articles, and fill out forms.
*Automating repetitive web tasks such as content generation, web scraping, or data extraction.
* [demo] Building a LangChain-powered agent to summarize a webpage in real time and interact with a form-based web application.
#Hugging Face for Web AI
*Adding interactive AI-powered features to websites like real-time image-to-text conversion or speech analysis.
*Hugging Face pre-trained models for natural language processing, image classification, or speech recognition.