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| title: DigitVision | |
| emoji: 🔢 | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: docker | |
| sdk_version: "3.11" | |
| app_file: app.py | |
| pinned: false | |
| # DigitVision | |
| Handwritten Digit Recognition with CNN | |
| A full-stack web application for recognizing handwritten digits using a trained CNN model with 98% accuracy. | |
| ## Features | |
| - Upload digit images for prediction | |
| - Draw digits on canvas with pencil/eraser tools | |
| - Real-time predictions with confidence scores | |
| - Modern neon-themed UI with particle animations | |
| - Sign in/Sign up functionality | |
| ## Tech Stack | |
| - **Backend**: Flask, TensorFlow, Keras | |
| - **Frontend**: HTML, CSS, JavaScript, Bootstrap | |
| - **Model**: CNN trained on MNIST dataset (98% accuracy) | |
| ## Usage | |
| 1. Visit the app | |
| 2. Sign in or sign up | |
| 3. Upload a digit image or draw one | |
| 4. Get instant predictions! | |