Info441: Machine Learning TP + Projects. Spring 2025
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Updated
Jun 9, 2025 - Jupyter Notebook
Info441: Machine Learning TP + Projects. Spring 2025
A project on the extraction of visual and material attributes of the digitized letters of Richard and Ida Dehmel. For interactive visualisations see link below:
Letters Recognizer using correlation and similarity methods in MNIST Letters dataset.
No vowels after here
📺 Letter recognition [👨🏫 Teacher: Киселев Александр Викторович] {6️⃣ Semester} (Artificial intelligence)
A lightweight Python GUI application for handwriting recognition using TensorFlow and EMNIST dataset. Draw characters or load images to recognize handwritten text with real-time confidence scoring and character-by-character analysis.
A simple web application for blazing-fast letter recognition
Evaluation of different classification techniques on OCR data
Android TensorFlow Lite-based app for my Russian cursive letter recognition ML model
Letter recognition classifier for English alphabet
Classification d'images de lettres avec des algorithmes de Machine Learning
Alphabet recognition
This application allows you to practice writing letters and checks if you have written correct using neural networks
Marathi-Letter-Recognition-ConvNet This project is Deep Learning Web Interfaced character recognition project. For sake of simplicity flask backend is used to minimize complexities. Basic working include you can draw the character on the canvas and system will detect the character. Tools used : Jupyter Notebooks - Model Building , Data analysis …
Letter naming fluency is a great indicator of risk and a strong predictor of reading success for young students. This app generates lists of letters that educators can use in the classroom for this important assessment.
TensorFlow/Keras-based Russian cursive letter recognition
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