INTELLIGENT APPS
(I-APPS)
A seminar report submitted in partial fulfilment of the requirements
for the award of the Degree of
BACHELOR OF TECHNOLOGY
IN
COMPUTER SCIENCE AND ENGINEERING
Submitted By
G. LAKSHMI PRASANNA 168B1A0512
DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING
RISE KRISHNA SAI GANDHI GROUP OF INSTITUTIONS
Valluru, Ongole, Prakasam – 523272.
2019-2020

ACKNOWLEDGEMENT
I here by acknowledge our profound gratitude to our beloved chairman,
Sri I.C.RANGAMANNAR, who took keen interest and encouraged us in every
effort throughout the course.
I express my special thanks to our Secretary & Correspondent of RISE
Krishna Sai Gandhi Group of Institutions, Sri SIDDAHANUMANTHA RAO,
for making our project complete.
I thankful to our beloved Director, Dr. A.V.BHASKARA RAO, who took
keen interest and encouraged us in every effort throughout the course.
I gratitude to our Principal Dr. K.V. SUBRAHMANYAM, for his kind
attention in the valuable guidance to us throughout the course.
I am expressing heart-full gratitude and deep indebtedness to beloved
Professor Mr. P. ISAAC PAUL, Head of the Computer Science and
Engineering, Rise Krishna SaiGandhi Group ofInstitutions for his great help and
encouragement in doing my seminar successfully.
Finally, I thank all the faculty members, supporting staff of CSE dept, and
our friends for their kind co-operation and valuable help for completing the
seminar.

ABSTRACT
Due the advent of smart-phones, we saw a plethora of apps which was
developed to seek information and assist with day to day activities. Now a days,
technological innovation in cloud infrastructure and machine learning laid as a
foundation for tomorrow’s Intelligent Apps.
Google’s Rankbrain Algorithm updates will enable its search engine to
learn update itself with little to no human interference, resulting in a self-
modifying intelligent app will endless improvement cycles. Likewise,
Wikipedia’s AI assistant, Objective Revision Evaluation service, seeks to
automatically identify inaccurate edits to articles and also assigns quality scores.
Messaging apps, such as Google Allo, are being super charged with
machine-learning based virtual assistants that provide contextual responses,
chatbots, and integration into third-party services and ecosystems.

CONTENTS PAGE NO.
1.Introduction 1-1
2.What is an I-App? 2-2
3.Specialities of I-Apps 3-3
4.Applications in business 4-4
5.Examples of I-Apps 5-11
6.How it is a future technology? 12-13
7.Conclusion 14-14

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INTRODUCTION
Intelligent apps are the innovative invention or Artificial-Intelligence
which acts as supportive leaders for entrepreneurs. These apps can study our
behaviour and choices and thereby make contextual predictions. They can
differentiate between relevant and irrelevant information with the help of AI
algorithms.
Spotting out the most vital and awful technology, among all available
technologies stands out for artificial intelligence. These fascinated technologies
are stuffed with infinite advantages which fit best to this fast-moving world and
makes easier the users with varied aspects.

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2. WHAT IS AN I-APP?
Intelligent apps are applications that use historical and real-time data from
user interactions and other sources to make predictions and suggestions,
delivering personalized and adaptive user experiences.
The next generation of mobile applications will be the result of multiple
worlds colliding: when application development meets artificial intelligence, the
Internet of Things and big data analytics, intelligent apps are the outcome. Put
simply, these are apps that continually learn from user interactions and other data
sources to become even more relevant and useful.

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3. SPECIALITIES OF I-APPS
 Data-driven:
Intelligent apps combine and process multiple data sources – such
as IoT sensors, beacons or user interactions – and turn an enormous
quantity of numbers into valuable insights.
 Contextual and relevant:
Intelligent apps make much smarter use of a device’s features to
proactively deliver highly relevant information and suggestions. Users will
no longer have to go to their apps. Instead, the apps will come to them.
 Continuously adapting:
Thanks to machine learning, intelligent apps continuously adapt and
improve their output.
 Action-oriented :
By anticipating user behaviours with predictive analytics, smart
applications deliver personalized and actionable suggestions.
 Omnichannel :
Progressive web applications (PWAs) are increasingly blurring the
lines between native apps and mobile web applications.

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4. APPLICATIONS IN BUSINESS
Although the adoption of smart apps will move faster in theB2C context, their
added value is equally high in B2B. They have the potential to increase
operational excellence in every sector:
 In a productionenvironment, a smart app could use beacon signals to alert
people when they enter a zone where safety gear is required.
 Based on Wi-Fi and smartphone data, an app could determine when to turn
off the lights in an office building. Apps could also replace current systems
for manual time registration.
 For salespeople, an intelligent app could evaluate and prioritize leads by
predicting which opportunities are most likely to close.

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5. EXAMPLES OF I-APPS
1. Siri
Siri, thefamous virtualassistantfromAppledoesn’tneedtoomuchofanintroduction,
and it’s oneofthemostpopularAIapps.This AI-poweredvirtualassistantis available
onmajor Appleplatforms,e.g.,iOS,iPadOS, macOS,watchOS, tvOS, and audios.
2. Cortana

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This AI-powered virtual assistant is available on Windows 10, Windows mobile,
Invokesmartspeaker, MicrosoftBand,Android,iOS,WindowsMixed Reality(MR),
Amazon Alexa, and Xbox One.
Cortanais also availableonpopularheadsetslikeHyperXCloudX, RazerKraken7.1
V2, Logitech G933, and Sennheiser GSP350.
Cortana offers hands-free help, answers questions, provides reminders, keeps notes,
takes care of tasks, and helps in managing the calendar. Overtime, Cortana “learns”
and attends to more complex tasks.
3. Google Assistant
Launched in 2016, Google Assistant, i.e., the AI-enabled, voice-powered virtual
assistantfromGooglehas madesignificantstrides.It’sconsideredasoneofthemore
advanced virtual assistants. This includes iPhones, and indications are that Google
will partner with more brands. Its active user base is increasing noticeably.

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4. Alexa
Alexa, also called AmazonAlexa, is the AI-powered virtualassistantfromAmazon.
It was firstused withAmazonEcho and AmazonEchoDotsmartspeakers,however,
now it’s available on various platforms like Android, iOS, etc.
Alexa uses voice queries, natural language processing, etc. to offer many services,
e.g., voice interaction, music playback, etc.
5.ELSASpeak

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ELSASpeakis a popularAI-poweredappto learnhowto speakEnglish. Users of
this app canlearnhowto speakEnglish and pronounceEnglishwords withthe help
ofshortdialogues.AIhelps themwith instantfeedback, therefore,theycanexpectto
make quickprogress.
6. Socratic
Socratic is an AI-powered app to help students with math and other homework, and
Googlehas recentlydisclosedthatit has acquired this app. Studentscantakepictures
using their phone camera, subsequently, Socratic uses its AI capabilities to provide
visual explanations for the concepts that students need to learn.
Socratic uses text and speech recognition, and it can support learning science, math,
literature, social studies, etc. This app is available on Android and iOS, and it’s
compatible with the iPad.

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7. Fyle
Fyle is an AI-powered expense management app, and it’s available on desktop,
Android, and iOS.It’sakey playerin the intelligent expensemanagementspace,and
Fyle has recently launched direct integrations with Google G Suite and Microsoft
Office 365.
Businesses like Royal Enfield, Communicorp, etc. use Fyle, and the app offers
valuable features, e.g.:
 Real-time data extraction
 Expense reporting
 Tracking corporate cards
 Real-time policy checks
 Approval workflows
 Travel requests
 Analytics

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8. DataBot
DataBotis an AI-powered virtual assistant, and it’s available on Windows 10,
Android, and iOS. It’s also available on Xbox One, iPad, and Windows phones.
You can customize DataBot according to your preference of language, voice, etc.
DataBot can speak and understand English, Italian, Spanish, French, German, and
Portuguese.
9. Hound

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Hound is an AI-powered voice assistant app, and it’s available both on Android and
iOS. You can search for information using your natural voice, and then you can
follow-up to refine the results. Hound can be used hands-free.
The app uses its proprietary Speech-to-Meaning and Deep Meaning Understanding
technologies. Hound has an impressive array of customers, e.g., Mercedes-Benz,
Honda, Motorola, and Hyundai.
10. Youper
An AI-powered emotionalhealth assistantapp,Youperis available both on Android
and iOS. This app can help users take controlof their emotional health as they can
have quick conversations with it. Youper can guide users through personalized
meditations.

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6. HOW IT IS A FUTURE
TECHNOLOGY?
 Evolutionary Apps:
We have already seen that intelligent apps combine customer,
product, and operational insights to create a more compelling user
experience. Thus, the future belongs to intelligent apps. IDC states that “by
the end of this decade, more than half of the apps developed will have some
cognitive services embedded in them”. People have experimented with
neural nets that can look at codebases and dynamically change the user
interfaces themselves. Thus, AI-powered apps would be able to think, act
and evolve. We already have apps that show functions pertaining to the
user, thus offering a more personalized user experience.
 Invisible Apps:
One pain that many users experience with apps today is that they
have to input a lot of information. For example, when using a normal
fitness app to keep track of your daily calorie count, you have to input all
the details of whatever you eat (like quantity, ingredients, restaurants).
However, the combination of conversational AI and cognition with
analytics allows users to input information using voice. Thus, instead of
typing everything that you ate, you can simply tell the app, “I had a Big
Mac from McDonald’s”. This creates more dynamic user experiences,
which customers appreciate. Organizations that plan to develop or that
already have apps should take this into consideration.

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HOW CAN YOU BE FUTURE-READY?
As we are gradually moving towards a world with driverless cars, smart
homes and everything around us turning smart, intelligent apps are definitely the
future. We have come a long way from the basic apps that came with the early
generations of mobiles. Even if we do not always see it, at some level, AI is
proving to be a potentially useful and promising concept in technology.
Along with increasing adoption of AI-powered enterprise applications,
specific infrastructure resources need to grow and evolve alongside to ensure high
success rates. Instead of pushing for deep machine learning, organizations need
to understand how to apply simple machine learning techniques to address their
business problems.
CIOs should ensure that their software providers outline properroadmaps
depicting how they incorporate AI to add business value using advanced analytics
to advance user experiences. With the widespread use of intelligent applications
for business and personaluse, companies need to stay up to date on these exciting
possibilities.

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7. CONCLUSION
At Delaware, we live and breathe the integration of business flows with data. Our
extensive track record as a systems integrator is a meaningful asset in building
smart apps compatible with existing data flows and diverse communication
infrastructures.
 We have the scale, the expertise, and the hands-on skills to set up
experiments or implement application development through actionable
roadmaps.
 Our experience in a wide range of industries allows us to both inspire you
and guide you through complex business transformations that go beyond
intelligent apps.