THE BEST WAY TO PREDICT THE FUTURE IS TO INVENT IT.
Mobile Machine Learning | TensorFlow | Artificial Intelligence | Android App Development
ANDROID AND TENSORFLOW PROJECTS
Open-source projects on various topics covering Mobile ML, TensorFlow Lite and Android.
A Decision Tree algorithm used for classification made in Kotlin langauge.
A TensorFlow Project which detects spam messages and uses this capability in Android apps.
An Android application which can detect potential cases of Melanoma with just a picture of the skin.
A basic Bayes Text Classifier written in Kotlin and can be used for classification purposes on Android.
Face Recognition using FaceNet and Firebase MLKit on Android.
Feed-Forward Neural Networks implemented in Kotlin.
Explore Q Learning with the Frozen Lake Environment 🥶 in Android.
Neural Networks meet Charles Darwin’s Principle in Kotlin
Writer at BecomingHuman.ai, Predict, DataSeries, TowardsDataScience, The Startup and Heartbeat.
Android Development Intern At AjnaLens
From April 2020 to July 2020
Worked as an Android Development Intern with AjnaLens, a tech-startup which creates augmented reality headsets for use in education and defence. During the internship, I integrated a number of ML models in Android applications and also improved their efficiency for edge devices.
Please note that this certification is valid till 16th February 2021.