🧠 Handwritten Digit Recognition Web App
An interactive web application that allows users to draw digits directly on a canvas, which are then recognized in real-time using a trained machine learning model. The app captures user input, preprocesses the drawing, and predicts the corresponding number with high accuracy.
Built with a focus on simplicity and responsiveness, this project demonstrates the integration of front-end canvas interactions with backend machine learning inference.
✨ Features
Draw digits (0–9) using an interactive canvas Real-time prediction of handwritten input Preprocessing pipeline for accurate model inference Clean and responsive user interface
🚀 Tech Stack
Frontend: HTML, CSS, JavaScript (Canvas API) Backend: Python (Flask / Node.js depending on your setup) Machine Learning: Trained model (e.g., CNN on MNIST dataset)