A machine learning based web app developed as an instructional tool for teaching and learning finger counting using Concrete-Representational-Abstract approach. ✋💻
Show your fingers at the webcam to get the number and its relative value. (0 to 10)
Install before running Fingbers.
$pip install -r requirements.txt
Open fingbers.py located directory, then run in cmd
$python fingbers.py
Navigate to localhost:5000 on your browser to test out the Fingbers web app.
- Handtrack.js - For hand detection in the browser
- Tensorflow Object Detection API - For gesture classification on the server
- Alex Wong - Initial work - Owlullaby
This project is licensed under the MIT License.
- This is a development project done along with the completion of project paper "FINGBERS: THE MACHINE LEARNING BASED WEB APP FOR TEACHING FINGER COUNTING USING CRA APPROACH".