Page 148 - KEC Khaitan C8 Flipbook
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PROJECT NAME: DIY Project: Rock Paper Scissors (Gesture Scanning)
Software Used: Interface: Teachable Machine-Google
Objective:
Design an interactive Rock-Paper-Scissors game using gesture scanning. Utilize Google
Teachable Machine for real-time hand gesture recognition and showcase the game on a user-
friendly webpage.
Step-by-Step Guide
Plan IPO Framework
Develop the following features by mapping Input, Process, and Output systematically:
Step 1 Create Gesture Classes:
Define four classes: Rock, Paper, Scissors, and Invalid.
Fill each class with relevant sample data by either:
o Uploading images, or
o Capturing live images using a webcam.
Step 2 Train Machine Learning Model:
Use Google Teachable Machine to train the model on the provided hand gesture
images.
Ensure the model recognizes gestures accurately.
Step 3 Integrate Gesture Scanner:
Set up a webcam or camera-based input for real-time gesture detection.
Display results (Rock, Paper, or Scissors) dynamically on the webpage.
Step 4 Design the Webpage Interface:
Include the following elements:
o A title describing the game.
o A live feed window for gesture recognition.
o A table layout to display game data (e.g., detected gesture, game status).
o A demonstration video clip for user guidance.
Step 5 Enhance User Experience:
Ensure smooth interaction and seamless functionality.
Focus on an engaging, AI-driven user interface.
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