Driving innovation across our customer’s business lines is our prime focus.
Our Artificial Intelligence services redefine the way businesses operate with the customers.
We deliver end to end AI integrated apps covering a wide range of industries. Our AI
services help to understand the data analysis of your business. This supports faster
decision-making in the business and helps firms in eliminating repetitive tasks.
Our AI solutions focus in the direction of extending the human potential.
Services include Natural Language Processing, deep neural networks, reinforcement learning,
predictive analytics, and computer vision that creates competitive edge business solutions.
We share creative approaches to resolve the resource constraints to develop a
robust and full-fledged Artificial Intelligence solution. Our expert team of app development
ensures that our clients are empowered by Artificial Intelligence services. We convert your
idea into reality to keep you looking smart and spontaneous, hardly matter how complex your
AI App idea is.
Amazon’s Alexa is completely voiced recognization based technology with several
derivative versions available, continues to expand its music, smart-home, and digital-assistant
abilities. It’s a wireless speaker first, but capable of much more. Using nothing but the sound
of your voice, you can play music, search the Web, create to-do and shopping lists, shop online,
get instant weather reports, and control popular smart-home products—all while your smartphone
stays in your pocket. Alexa is Amazon’s voice-control system. It lets you speak your wishes to
an Echo smart speaker and see them fulfilled—at least simple ones, like dimming your lights or
playing music tracks.
We help the client to provide a
solution using Alexa AI for their Mobile App. We have covered the below scenarios to cover all
the user actions those are below:-
User’s Access
Initiate a Product purchase (Games, Products, and donation)
Initiate a game
Case Studies
During the initial phase of AI implementation using Alexa, requires to learn
your voice. This is meant to be a one-time activity which requires Alexa to learn the user’s
voice. Alexa will then automatically recognize you when you speak. To test it out, you can
say, “Alexa, who am I?” It will tell you who it thinks you are, as well as which account
you’re currently using. Once you create a voice profile, Alexa will speak personalized
results to you. Alexa automatically understands it and instantly replied homework
information to the student. Alexa can help to show student attendance with the command
‘Alexa, show my attendance’. Most of the reminders can be set using Alexa, the best example
like Library books, as for specific date Student would return or exchange the book or study
material using Library, so using Alexa automatically would send reminders for
returning/exchanging the same. Another example like exam date,result date and next year
admission date with command ‘alexa, please tell me nursery class exam date’,’alexa,please
tell me nursery class exam date’and’alexa’,please tell me next year nursery admission date.
Also it will help to update the Student profile in effective way.
Digital audio assistants like Alexa is bringing clarity and improvement in
education for students. So we have used Alexa’s best able to match the student needs, this
will help Students to understand AI better in terms of effective education and learning. In
education doctor project we have implemented Alexa in the educational games section.
Students will see the games like ‘Guess the next letter’,’Table of a specific
number’,’Addition and subtraction’,‘Correct the grammar of sentences’, ‘General knowledge,
and quiz’ etc. We have observed that, by playing such kind of games, students are becoming
more engaged in their learning, more motivated to pay attention and participate in various
levels of competitions. Students are trying to use their working memory to solve problems,
increasing their mental cognition. In these games, we have provided built-in storage so that
students will come to know their last scores, and how many attempts they have made to clear
the levels and how are they improving their while playing the games.
The pharmaceutical industry has very good implementations of AI and Deep
Learning. We are currently working on a prototyped version of one of our clients where we
are trying to have an implementation of virtual assistance with chat-bot for giving services
to customers to robust reporting delivery platform, and other information relates to their
cases. The sample use case can be used just login to chat-bot and enter details of their
case with either mobile number or email id or case id printed on their receipt. Depending
upon validation and requested information and sensitivity of information either links or
data requested will be sent to his mobile or email respectively to showcase 24 X 7 support.
It might give a good understanding of the user for their case. It also helps the user in
case they have to visit pathology for giving samples for blood/urine etc and need assistance
so no efforts required from actual human for getting guidance for timing, address. They can
be directly linked to Google maps from the current location or can get timing understanding
as well as appointment fixture using virtual chat-bot making it easy. Other use case on
which we are working is cancer diagnostic will be scanning whole images and based on
previous results it might update knowledge base and will create analysis or will do analysis
of any case with AI / Deep learning to give primary feedback which might guide or redirect
pathologist to particular region which is considered as suspicious of cancer cell. This help
to diagnose the problem with effective utilization of problem and can have primary second
opinion automatically.
