Basically it's open cv python project where user can draw any alphabets or number in the frame using his index finger tip and after that our model can recognize which alphabets or number is written.

📝 Online handwritten English numeral dataset created in an Air-Writing environment.

Air Handwriting Detection Using OpenCV and Recognition Using CNN

Recognition of air-handwritten vowels in the air using the IMU of the STWIN module.

This notebook contains code to detect the tip of an air-pen* in front of a camera which allows us to write in the air in a video.

Recognizing hindi letters written by tracing your hand in the air

Air writing app for Parkinson's patients that utilizes on Machine Learning and Computer Vision (CIS 4962 Senior Design Project)

Virtual AI Writer uses fingertip detection for gesture-based interactions. Features include air writing, drawing, selecting, erasing, and moving objects, as well as a virtual mouse for scrolling PDFs, webpages, and more. Powered by computer vision, it offers an intuitive hands-free experience bridging physical and virtual worlds.

A real-time gesture-controlled air writing system built using Python, OpenCV, and MediaPipe. This project allows users to draw and write in the air using hand gestures detected through a webcam, creating a touchless virtual drawing experience with real-time hand tracking and gesture recognition.

A real-time, touchless interface that lets users write in thin air. Using a standard webcam, OpenCV, and MediaPipe, the system tracks 3D hand landmarks to generate digital ink from pinch gestures. It then applies a personalized template-matching algorithm to instantly classify and digitize multi-stroke handwriting with zero latency.

AI-powered virtual writing and interaction system using fingertip gestures for writing, drawing, and object manipulation.

Real-time multimodal gesture HCI — 98.88% air-writing accuracy