Hand Written Text Recognition
This project uses a Convolutional Neural Network (CNN) to recognize handwritten digits from the MNIST dataset. The model is built using TensorFlow and Keras.
This site is the portfolio of Ranit Saha (Coderooz), a full-stack developer. Built with Next.js 16, React 19, TypeScript, Tailwind CSS 4, MongoDB, Clerk Auth, Razorpay.
nav with links to /, /about, /services, /content, /contactaside with links to all dashboard routestable with columns: #, Type, Item, Payment Id, Download Link, Status, Notesdl with Order ID, Type, Status, Customer Budget, Final Amount, Quoted At, Accepted AtAll content pages support Accept: text/markdown for AI agents. Markdown available at /api/md?slug={path} and .md routes (e.g., /content/my-post.md). AI agent index at /llms.txt. Semantic sitemap at /sitemap.md.
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This project uses a Convolutional Neural Network (CNN) to recognize handwritten digits from the MNIST dataset. The model is built using TensorFlow and Keras.
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