TensorFlow Community Spotlight program update
november 09, 2020
Posted by Marcus Chang, TensorFlow Program Manager

In June we started the TensorFlow Community Spotlight Program to offer the developer community an opportunity to showcase their hard work and passion for ML and AI by submitting their TensorFlow projects for the chance to be featured and recognized on Twitter with the hashtag #TFCommunitySpotlight.

GIF of posture tracking tool in use
Olesya Chernyavskaya, a Community Spotlight winner, created a tool in TensorFlow to track posture and blur the screen if a person is sitting poorly.

Now a little over four months in, we’ve received many great submissions and it’s been amazing to see all of the creative uses of TensorFlow across Python, JavaScript, Android, iOS, and many other areas of TensorFlow.

We’d like to learn about your projects, too. You can share them with us using this form. Here are our previous Spotlight winners:

Pranav Natekar

Pranav used TensorFlow to create a tool that identifies patterns in Indian Classical music to help students learn the Tabla. Pranav’s GitHub → http://goo.gle/2Z5f7Op

Chart of Indian Classical music patterns


Olesya Chernyavskaya

Working from home and trying to improve your posture? Olesya created a tool in TensorFlow to track posture and blur the screen if a person is sitting poorly. Olesya's GitHub → https://goo.gle/2CAHvz9

GIF of posture tracking tool in use

Javier Gamazo Tejero

Javier used TensorFlow to capture movement with a webcam and transfer it to Google Street View to give a virtual experience of walking through different cities. Javier’s GitHub → https://goo.gle/3hgkmBc

GIF of virtual walking through cities

Hugo Zanini

Hugo used TensorFlow.js to create real-time semantic segmentation in a browser. Hugo’s GitHub → https://goo.gle/310RDKc

GIF of real-time semantic segmentation

Yana Vasileva

Ambianic.ai created a fall detection surveillance system in which user data is never sent to any 3rd party cloud servers. Yana’s GitHub → goo.gle/2XvYY3q

GIF of fall detection surveillance system

Samarth Gulati and Praveen Sinha

These developers had artists upload an image as a texture for TensorFlow facemesh 3D model and used CSS blend modes to give an illusion of face paint on the user's face. Samarth’s GitHub → https://goo.gle/2Qe3Gyx

GIF of facemesh 3D model

Laetitia Hebert

Laetitia created a model system for understanding genes, neurons and behavior of the Roundworm, as it naturally moves through a variety of complex postures. Laetitia’s GitHub → https://goo.gle/2ZgLZ6L

GIF of Worm Pose

Henry Ruiz
Rigging.js is a react.js application that utilizes the facemesh Tensorflow.js model. Using a camera, it maps the movements of a person into a 3D model. Henry’s GitHub → https://goo.gle/3iCXBZj

GIF of Rigging JS

DeepPavlov.ai

The DeepPavlov AI library solves numerous NLP and NLU problems in a short amount of time using pre-trained models or training your own variations of the models. DeepPavlov’s GitHub → https://goo.gle/3jl967S

DeepPavlov AI library

Mayank Thakur

Mayank created a special hand gesture feature to go with the traditional face recognition lock systems on mobile phones that will help increase security. Mayank’s GitHub → https://goo.gle/3j7evyN

GIF of hand gesture software

Firiuza Shigapova

Using TensorFlow 2.x, Firiuza built a library for Graph Neural Networks containing GraphSage and GAT models for node and graph classification problems. Firiuza’s GitHub → https://goo.gle/3kFcmvz

GIF of Graph Neural Networks

Thank you for all the submissions thus far. Congrats to the winners, and we look forward to growing this community of Community Spotlight recipients so be sure to submit your projects here.

More information
Next post
TensorFlow Community Spotlight program update
Community · Google Article

Posted by Marcus Chang, TensorFlow Program Manager

In June we started the TensorFlow Community Spotlight Program to offer the developer community an opportunity to showcase their hard work and passion for ML and AI by submitting their TensorFlow projects for the chance to be featured and recognized on Twitter with the hashtag #TFCommunitySpotlight. Now a little over four months in, we’ve receive…