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🎯 Gesture Calculator using AI and Computer Vision

This project is a Gesture Calculator that uses AI and Computer Vision to recognize hand gestures and solve mathematical problems in real time. The system captures hand movements through a webcam, interprets gestures as mathematical inputs, and computes results using AI.

📝 Features

  • Hand Gesture Recognition: Detects hand gestures to input mathematical symbols and equations.
  • Real-time Calculation: Processes and solves math problems in real-time based on gestures.
  • AI-Powered: Uses Google’s Generative AI to handle math problem solving.
  • Web-based Interface: Built with Streamlit for an interactive experience.

Access

Deployed App => https://huggingface.co/spaces/sandipan23/NeuraCalc

💡 How It Works

  1. Hand Detection: Using OpenCV and cvzone, the system tracks hand movements through the webcam.
  2. Gesture Recognition: Specific gestures represent mathematical inputs (e.g., numbers, operators).
  3. AI Computation: When the gesture input is complete, it is sent to Google Generative AI for solving.
  4. Real-time Output: The solution is displayed instantly.

🔧 Tech Stack

  • Python
  • OpenCV for computer vision tasks
  • cvzone for hand tracking
  • Google Generative AI (gemini-1.5-flash)
  • Streamlit for the web interface
  • Pillow for image processing

🚀 Getting Started

Author

Prerequisites

Before running the project, ensure the following dependencies are installed:

  • Python 3.8+
  • OpenCV
  • cvzone
  • google-generativeai
  • Streamlit
  • Pillow

Installation

  1. Clone the Repository:

    git clone https://github.com/sandipanrakshit34/Guestures-Calculator-using-AI-and-Computer-vision.git
cd gesture-calculator

  2. Install Dependencies:

    pip install -r requirements.txt

  3. Run the Application:

    streamlit run app.py

  4. Webcam Setup: Ensure your webcam is properly connected and working to capture hand gestures.