Android App Technology
Our Android App technology strives for and achieves Quality Applications by always keeping a top notch user experience in mind.
Our team is specializes in android mobile applications suitable for any android device (phones/tablets).
Our diversity in Android application development can be seen through the technologies we use.
TensorFlow Deep Learning Model Integration
We have developed the Leaf Detect App using the TensorFlow Lite Model
Caffe Deep Learning Model Integration
We have developed the Leaf Detect App using the Caffe SSD Mobile Net Model
Caffe2 Deep Learning Model Integration
We have developed the Leaf Detect App using the Caffe2 with Pytorch SSD Mobile Net Model
We have extensively used the OpenCV Library for making the Deep Learning based App and Integrate the Caffe and TensorFlow Model.
Native SDK Integration
We have extensively used the NDK SDK for making the App efficient and fast and took the versatility of C++ and C language to make app more versatile.
Google APIs allows communication with Google Services and their integration to other services for Example Search, Gmail, Translate or Google Maps. Third-party apps can use these APIs to take advantage of or extend the functionality of the existing services.
The OpenGL or OpenGL ES APIs provided by the Android framework offers a set of tools for displaying high-end, animated graphics that are limited only by your imagination and can also benefit from the acceleration of graphics processing units (GPUs) provided on many Android devices.
Native GL Integration
We have successfully integrated the native gl and C++ library to make the Android app for graphics extensive Application like Molecular View Apps.
Picasso library has been integrated in Our Android App for give the better image representation in different Styles:
Google Cloud Messaging (GCM) is a service that allows you to send data from your server to your users’ Android-powered device, and also to receive messages from devices on the same connection.
Google Analytics: The Google Analytics SDK for Android makes it easy for developers to collect user engagement data form their apps.
Latest Google Cloud Messaging (Firebase) is a service that allows you to send data from your server to your users’ Android-powered device, and also to receive messages from devices on the same connection.
The Google Analytics SDK for Android makes it easy for developers to collect user engagement data form their apps.
Android Multimedia API
The Android multimedia API includes support for playing variety of common media types, so that you can easily integrate audio, video and images into your applications.
Social Network Integration
This will include setting up your application for navigation as well as displaying how you can share text and photo content from your phone, right from your application to other social networking app. For example Twitter, Facebook, WhatsApp, etc.
SQL Lite Database
SQL Lite is open-source SQL database that stores data to a text file on a device. Android comes in with built in SQLite database implementation and supports all the relational database features. In order to access this database, you don’t need to establish any kind of connections for it like JDBC,ODBC,etc.
Animations can add subtle visual cues that notify users about what’s going on in your app and improve their mental model of your app’s interface.
Monetize your app with banner or interstitial ads from Google’s vast pool of advertisers.
PHP Script Language and MySQL Database Integration
We have used PHP Script Language and MySQL Database Integration in different Apps.
Google Map Integration
We have used Google Map Integration in different Apps.
PDF Report Integration
We have used PDF Report Integration in different Apps.
Google Cloud API Integration
We have used Google Cloud API Integration in different Apps.
Amazon Web Service (AWS) Integration
We have used Amazon Web Service (AWS) Integration in different Apps.
IOT Solution with Micro controller and Linux Board
We have used IOT Solution with Micro controller and Linux Board in different Apps.
Machine Learning API by Amazon AWS
We have used Machine Learning API by Amazon AWS in different Apps.
Machine Learning API by Google TensorFlow
We have used Machine Learning API by Google TensorFlow in different Apps.