Build a Handwriting Analyzer with Claude 3.5 Sonnet

In this video, AI FOR DEVS demonstrates how to build a handwriting analyzer web application using Claude 3.5 Sonnet’s advanced vision capabilities. The tutorial covers the entire process, from setting up the API to designing an intuitive user interface with Streamlit. The video begins with an introduction to Claude 3.5 Sonnet, highlighting its speed, quality, and cost advantages over GPT-4. The host then walks through the steps to create a virtual environment, install necessary packages, and set up the Claude API. The tutorial includes a detailed explanation of how to fetch and analyze images using the API, convert images to base64, and send them to the API for analysis. The host provides examples of analyzing handwriting from famous individuals like Matisse and Stephen Hawking. The video concludes with the creation of a user-friendly web interface using Streamlit, allowing users to upload handwriting images and receive personality interpretations. The host emphasizes the potential of turning this application into a service that could generate revenue.