alphabet-recognition

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

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

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.

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

Simple American Sign Language detector using KNN.

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.

simple alphabet reader

Handwritten Alphabet & Digit Recognition Web Application

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).

👁️🔤 A Computer Vision model built to detect and classify alphabet characters.

Alphabet Recognition Model using Python.

A real-time handwritten letter recognition web app built with Flask and a CNN model trained on EMNIST. Supports both canvas drawing and image uploads, delivering instant predictions for A-Z characters.