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Engineered an AI model utilizing advanced Computer Vision and Google Generative AI to solve math problems by recognizing hand gestures, offering real-time, accurate solutions through an intuitive interface inspired by Apple Tablet calculators.
A Sign Language Learning Platform where who know sign language can come and practice Sign Language and also people who don't know can learn through this
The project leverages MediaPipe for hand tracking to create a virtual mouse interface, enabling precise cursor control and clicking through intuitive hand gestures. It translates real-time hand movements into mouse actions using a webcam, offering a hands-free interaction experience.
This Python application enables control of the mouse cursor through hand gestures captured via webcam. It leverages Mediapipe for hand tracking and OpenCV for video processing, allowing users to perform actions like moving the cursor, left-clicking, right-clicking, dragging, and scrolling using intuitive gestures.
A hand gesture control with facial authentication for the DJI Tello drone. The system uses computer vision (openCV) and machine learning techniques to ensure secure and intuitive drone control. Gestures work only if an authorized face is detected; otherwise, the drone lands after 20 seconds of not detecting any face.
This project implements a hand gesture recognition system using deep learning techniques with TensorFlow and Keras. It involves preprocessing a dataset from Kaggle, building and training a convolutional neural network (CNN) model.
This project is a virtual painting application that permits users to draw and paint directly onto the live camera stream. It has been developed using Python, OpenCV, and MediaPipe.