✋🧠 An AI-powered app that lets you draw math expressions using hand gestures via webcam. Uses OpenCV, cvzone (Mediapipe), and Google Gemini AI to detect gestures, draw on a virtual canvas, and solve equations in real-time. Interactive UI built with Streamlit. Just wave, write, and solve!

is an innovative project that allows users to interact with an AI to solve math problems using hand gestures

Gesture based mathematical problem solving is an interactive, AI-powered application designed to recognize hand gestures and solve math problems. Using a webcam, it captures gestures in real-time, sending them to an AI model that responds with math solutions

Draw math problems in the air using hand gestures and solve them with Google Gemini AI – powered by OpenCV, cvzone, and Streamlit.

✍️ An interactive AI application that solves math problems from hand gestures. Draw equations in the air using your webcam and get instant solutions from Google's Gemini AI. Built with Python, Streamlit, and MediaPipe.

The AI-Powered Virtual Calculator lets users draw math equations using hand gestures. The system processes the input with OpenCV and sends it to Google's Gemini API, which generates detailed solutions. This innovative tool blends computer vision and AI to make math-solving more interactive and intuitive.

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A real-time gesture-based math solver built using OpenCV, MediaPipe, and Streamlit that lets users perform arithmetic operations like addition, subtraction, multiplication, division, evaluation, deletion, and clearing the screen using only hand gestures detected through a webcam.

This repository contains two projects, a Hand Gesture Math Solver with AI and a Hand Gesture Volume Controller.

Solve math problems hands-free using your webcam and hand gestures! Built with OpenCV, MediaPipe, and Python magic. 🔢🤖

Hand Gesture Math Solver: Python, OpenCV, and Google's generativeai enable real-time math problem solving via webcam gestures (cvzone). Draw, clear canvas, input expressions—AI processes and displays solutions instantly. Enhances learning with interactive, hands-on engagement.

The **Math Gesture Problem Solver Controlled AI Assistant** is an innovative project that allows users to interact with an AI to solve math problems using hand gestures. This project integrates **computer vision** for gesture recognition and a **generative AI model** for solving math problems.

A gesture-based math solver using OpenCV and MediaPipe. Perform arithmetic operations with your hands in real-time.

A gesture-based math solver using OpenCV and MediaPipe. Perform arithmetic operations with your hands in real-time.

✋🧮 Hand Gesture Math Solver with Gemini AI This project is an interactive math problem solver that combines: Hand gesture detection using OpenCV & cvzone, Image-based equation recognition with Google Gemini AI, Streamlit web interface for real-time use.

an interactive tool that lets users solve math problems by drawing gestures in the air. It uses real-time hand tracking, gesture recognition, and Google’s Gemini model to interpret and solve math expressions drawn with hand movements.

Introduced an interactive, hands-on experience where users can tackle math questions with intuitive hand gestures,transforming traditional problem-solving into an engaging activity.

Imagine solving math problems with just your hands — no keyboard, no mouse, no calculator. Sounds cool, right? That’s exactly what we’ll build in this project: a real-time hand gesture-controlled math solver.

A real-time AI virtual whiteboard that detects handwritten math equations via hand gestures and solves them instantly. Built with Python, OpenCV, MediaPipe, and EasyOCR.

An AI-powered app that lets users draw and solve math equations using hand gestures. Built with Python, OpenCV, MediaPipe, and Streamlit. Features include gesture-based drawing, canvas control, and real-time equation solving using generative AI.

A computer vision application that solves handwritten math problems through hand gestures. Draw with your index finger, clear with your thumb, and get AI-powered solutions with a four-finger gesture using OpenCV, MediaPipe and Google's Gemini.

Math-Gesture-Solver is a real-time, AI-powered system that allows users to solve mathematical problems by drawing them in the air using hand gestures. It combines computer vision for hand tracking (cvzone/OpenCV) with a dynamic web interface and an advanced Generative AI model, for equation recognition and solution generation.

AI-powered system that recognizes and solves handwritten math equations in real-time using hand gestures. Built with MediaPipe for hand tracking, OpenCV for image processing, EasyOCR for text recognition, and SymPy for solving equations. Features a Tkinter GUI for live interaction and accessibility.

This Python script combines Stable Diffusion for text-to-image generation with GAN refinement. It uses MediaPipe for hand gesture control, allowing users to input math equations via gestures. The system solves equations symbolically using SymPy, displaying results through OpenCV.

Developed an AI-powered system using OpenCV and TensorFlow to recognize hand gestures for numbers and operators. Real-time gesture detection enables intuitive math operations and equation solving. Designed for education and assistive tech, it promotes interactive, touch-free learning with scalability for advanced features.

AirDraw integrates hand gesture recognition with AI to enable users to draw in the air. Using a webcam and computer vision, it captures gestures, interprets drawings, and solves math problems in real-time. With a user-friendly interface powered by Streamlit, AirDraw combines creativity with technology for interactive and educational experiences