Alphabet recognition using EMNIST dataset for humans ⚓

This algorithm is integrated with anvil website which identifies the alphabet present in the given input image.

Neural Network model for English alphabet recognition. Deep learning engine - PyTorch

This project recognizes alphabet gestures real time using the camera feed. The project uses two ML models for prediction, one is using a CNN and the other uses normal neural networks.

Deep Learning algorithm in pytorch to detect Hindi Alphabets given in form of images

This is a simple app to predict the alphabet that is written on the screen using an object of interest.

A web-based tool that recognizes handwritten digits and alphabets using a Convolutional Neural Network (CNN) trained on the MNIST and EMNIST datasets. The system is built with Flask and TensorFlow, offering an intuitive interface for character recognition.

Handwritten Alphabet & Digit Recognition Web Application

Simple American Sign Language detector using KNN.

simple alphabet reader

ElderWand-JetsonNano is an AI-powered gesture recognition system for NVIDIA Jetson Nano. It uses CUDA-accelerated OpenCV to detect wand movements in real-time, triggering GPIO actions like controlling lights or unlocking a solenoid lock. Designed for the Jetson AI Ambassador Program.

Image classification of alphabet images using supervised ML algorithms (SVM, RF, KNN).

Alphabet Recognition Model using Python.