MathGestureAIModel v1.0

MathGestureAIv1.0

MathGestureAIv1.0 is an AI model designed to recognize hand gestures for mathematical applications. Utilizing OpenCV, NumPy, and MediaPipe, this project aims to provide an intuitive way to interact with mathematical operations through hand gestures.

Features

• Hand tracking using OpenCV and MediaPipe
• Gesture recognition for basic mathematical operations
• Real-time processing and feedback
• Easy to integrate into educational tools and applications

Steps To Run

• Clone the Repository
  git clone https://github.com/yourusername/math-gesture-ai.git
  cd math-gesture-ai

• Create a virtual environment
  python -m venv venv
  source venv/bin/activate # On Windows, use venv\Scripts\activate

• Install cvzone and MediaPipe, streamlite and other imported libraries you can see in the top of main.py

• To Run
  streamlit run main.py

Technologies Used

• Gemini AI developer tools - For building and deploying AI models.
• OpenCV - For real-time computer vision.
• NumPy - For numerical operations.
• MediaPipe - For hand tracking and gesture recognition.

Libraies / Packages you must install before run

• create virtual environment (you can refer readme.md) file
• cvzone
• mediapipe
• streamlit
• geminAI model

Full Changelog: https://github.com/Disitha395ra/MathGestures/commits/MathGestureAIModel