DEV Community: Rukmani Devi

A quick Intro to Spritle’s journey in Digital Healthcare

Rukmani Devi — Sat, 16 Apr 2022 12:11:31 +0000

Trust your instincts and Dream Big is my all-time motto. You all might wonder why so many quotes to start with? Yes, we have accomplished our long-time goal of making a big step into the Digital Health maze!

In recent days all one can see is only about Covid, its effects & how it has turned the tables for the Medicine & Healthcare sector. I am talking about the Digital Healthcare Revolution that is currently happening across the globe.

Wherever we go, whichever articles we read, all of them point towards only one direction→ DIGITAL HEALTHCARE. That is right! As normal people & users need easy, quick, and accessible from a single place & device solutions in this fast and competitive world for all our activities, Healthcare is not an exception.

Healthcare digital systems have experienced intensive changes, developments, and improvements over the past decades. But now, one can feel the intense heat & competition that has surrounded the domain & the solutions providers.

Many Researchers, Scientists, Solution Providers, other Organizations (both Government and Non-government), etc. are striving to come up with many different and unique ideas to contribute to the digital health world. We can see the efforts they put into bringing all these solutions & services together.

“We all are traveling towards the same destination to achieve the same goals, aren’t we?”

Okay, let me get straight to the point 😝. I bet you guys know about the company called Spritle Software in Chennai, India. If not let me just give you a very quick introduction.

Spritle Software is an advanced Mobile & Web Software Development company that has been in the business for more than a decade, Ummm 13 years to be precise. Spritle started working on various Healthcare Applications in 2014 and proved to be reliable & successful to their clients. Also, they have a well-established client base and are known to be the best solution providers around them.

We have developed digital healthcare solutions for some of the most unusual and challenging ideas from a variety of our clients. We did not want to go hay way as others do.

Our main focus lies on these domains, GENOMICS, AI VOICE BOTS, BRAIN WAVE/ COGNITIVE ANALYSIS & FUNCTIONAL MEDICINE.

“We do not speak with words. Our works speak for Us”

‘The ultimate aim of Spritle Software is to be a Domain-driven technical expertise company, be a backbone as a technology partner to our clients, and help them grow their business by partnering with us.’

We will be tirelessly working as a Team to the best of our abilities to bring you fresh, unique, flexible & easy to use Applications to make your lives easier & simpler.

We all know that “Necessity is the mother of invention”. Without requirements or needs, there would be no solutions to be offered. You keep dreaming about it, we Spritlians will make your dreams into reality! Join hands with us for a better world, Thank you.

With lots & loads of positivity, talent & love, the Spritle Software Team❤️.

Also, do follow us on Facebook, Instagram, LinkedIn, Twitter, and Youtube.

Top 5 countries and hospitals that have adopted Voice-bots!

Rukmani Devi — Thu, 31 Mar 2022 20:27:45 +0000

The current era we live in is constantly evolving and newer inventions are being created every day but this does not mean that it is the end. The cycle of evolution will continue and eventually the old will be replaced by the new.

For example, the hospitals in the previous generation had a few electronic materials and even fewer that were automatic, and the generation before that much lesser. So we definitely have gone up in the medical field so much that multiple different things are now being done via virtual means.

Voice-bots will eventually take over the massive task of dealing with patients and also help them deal with the excruciating task of making appointments, check-ups, and other minor details. The countries that have already introduced voice-bots in their hospitals are the United States & India, while Switzerland and Berlin follow the suit and finally in Italy.

United States, Voice-bots and the Benefits,

Now considering that the US is well developed, it’s only natural that they also probably have one of the best AI voice bot technologies in the world. Using them for hospitals to provide automation even in a reasonable case can significantly reduce labor costs and also create an efficient workflow.

Now, these facts are still out there. Let me spew to some names that would make you realize just how widespread the use of these voice bots is: Red Cross America, the University of Chicago medical center, and a few more.

This can also mean that there are many other hospitals that use this resource but are not mentioned so clearly. The use of voice-bots knows no bounds and can be used in any field to help manage patients or clients.

EU makes a change, phew!

There are 3 countries in Europe that have currently adopted the Voice-bots in the hospital are berlin Switzerland and Italy which come as no surprise as these are pretty well-developed countries.

There are quite a few hospitals that have already implemented these voice bots to speed up their process although specific names arent mentioned there are quite a few who make use of them. So with this, it is safe to assume that they are on the same track to evolution much like the others.

India now has a voice…

A developing country that is slowly making its way into the big leagues by implementing voice bots in their medical system makes the process much faster and can also reduce inflation while used on a large scale and a great number of hospitals.

This automation process would also reduce the workload on the nurses that work for long hours and agree deprived of sleep and energy. Nevertheless considering the way that the Mayo Clinic is going it seems fair to say they realize the big picture here.

Now although Mayo has implemented this in their hospital it does not mean that just one of them being automated can improve the overall situation.

However, a good amount of investors and hospital owners who wish to play a major part in enabling efficiency are free to reach out to us for the exact solution to your problems.

Automating a process always enables you to focus more on analytics & enhancement, and spend reduced time on fixing the errors raised in the manual process. Similar to that, automating the very simple process of calling and making appointments for patients in your hospitals has many benefits, eventually making it bigger.

Countries around the globe have already started their automation journey, what is making you wonder! Join the community now and leisurely enjoy the process.

Hope this blog has introduced you to a whole new world. We will be back with many more interesting blogs along with us on the way. Keep expecting the best as always!

Top 5 Natural Language Processing Companies in 2022 with best reviews.

Rukmani Devi — Fri, 25 Mar 2022 10:08:54 +0000

NLP can help you achieve your business goals, whether you’re searching for a means to improve your present services, create a more user-friendly UI, or extract value from large amounts of data.
Simplified Customer Service
Streamline processes with smart applications (voice bots) that can analyze input sequences in the form of voice recording and identify the speaker’s intent.
Extract Data Expediently Use question-and-answer systems to find important information, or categorize passages or statements within docs.
Execute a Sentiment Analysis
To provide an exceptional customer experience, assess whether a sequence (for example, a remark) is favourable, unfavorable, or impartial.
Enhance Query Results
Carry out complex queries that consider the context of words and provide better accurate results significant sequence resemblance.

I have listed the top 5 best performing NLP companies in 2022 in India.

1.Spritle Software Solutions

Spritle Software Solutions are US based custom built software Development Company. They have their branch in Chennai,IN and mainly focus on enterprises, Healthcare industries and all to those who needs to develop custom Software applications.
Give your company a competitive advantage. Spritle is one of the best Natural Language Processing Companies that allows you to reinvent what's feasible, from virtual personal assistants and chatbots to sentiment analysis and search engines.

2.RaGaVeRa Indic Technologies
RaGaVeRa Indic Technologies specializes in Speech Synthesis & OCR for Indian languages. The company provides optical character recognition (OCR), including text extraction and recognition from camera captured scene and other images; text to speech syntheses such as emotional speech synthesis, online and offline handwriting recognition, automatic speech recognition (ASR) including multilingual speech, and machine translation systems.

3.DheeYantra
DheeYantra, a Bangalore-based AI, machine learning and NLP platform, builds an Indian language AI/ NLP platform dhee.ai. The platform enables businesses to engage and communicate with native language speakers in their own regional language. Founded in 2017, DheeYantra has been quick in building its core platform and as of now serving some of the top-notch companies in the Indian Banking, e-commerce and education sectors.

4.Saarthi.ai
It is a multilingual Conversational Enterprise AI Platform for omnichannel automation of customer journeys in the user’s native language. The Bangalore-based company helps enterprises to automate Marketing, Lead Generation, Sales and Support in 22 languages reliably, on all digital platforms and IVR. Saarthi.ai also provides a host of agent-side apps and analytics dashboards for the holistic management of multilingual customer interactions.

5.Braina AI Assistant
Braina is an intelligent personal assistant, human language interface, automation and voice recognition software for Windows PC. Braina is a multi-use AI software that enables users to interact with their PC using voice commands in most of the dialects of the world. It also allows users to precisely change speech-to-text in more than 100 unique dialects of the world. Its artificial intelligence makes it beneficial for users to control their PC utilizing natural language commands and make life simpler.

An Introduction to Machine Learning Theory

Rukmani Devi — Tue, 15 Mar 2022 05:16:46 +0000

Machine Learning (ML) is coming into its own, with a growing recognition that ML can play a key role in a wide range of critical applications, such as data mining, natural language processing, image recognition, and expert systems. ML provides potential solutions in all these domains and more, and is set to be a pillar of our future civilization.

What is Machine Learning?
Machine Learning is a new trending field these days and is an application of artificial intelligence. It uses certain statistical algorithms to make computers work in a certain way without being explicitly programmed. The algorithms receive an input value and predict an output for this by the use of certain statistical methods. The main aim of machine learning is to create intelligent machines which can think and work like human beings.

Among the different types of ML tasks, a crucial distinction is drawn between supervised and unsupervised learning:

Supervised machine learning:- The program is “trained” on a pre-defined set of “training examples”, which then facilitate its ability to reach an accurate conclusion when given new data.
Unsupervised machine learning:- The program is given a bunch of data and must find patterns and relationships therein.
**
Why Machine Learning?
**To better understand the uses of machine learning, consider some of the instances where machine learning is applied: the self-driving Google car, cyber fraud detection, online recommendation engines — like friend suggestions on Facebook, Netflix showcasing the movies and shows you might like, and “more items to consider” and “get yourself a little something” on Amazon — are all examples of applied machine learning.

*WHAT’S REQUIRED TO CREATE GOOD MACHINE LEARNING SYSTEMS?
*

Data — Input data is required for predicting the output.
Algorithms — Machine Learning is dependent on certain statistical algorithms to determine data patterns.
Automation — It is the ability to make systems operate automatically.
Iteration — The complete process is an iterative i.e. repetition of the process.
Scalability — The capacity of the machine can be increased or decreased in size and scale.
Modeling — The models are created according to the demand by the process of modeling.
Now if you want to learn Machine Learning, you can follow these steps:

Start off by learning the types of Machine Learning Algorithms such as:

Supervised Learning
Unsupervised Learning
Reinforcement Learning
When, you are good with the theoretical concepts of Machine Learning,

you can go ahead and implement them using a weapon your choice, such as:

R
Python
SAS Hope you got some idea about machine learning.Thanks for reading

Best 6 coding languages to use for your next application development

Rukmani Devi — Tue, 01 Mar 2022 19:47:32 +0000

The world we know today is influenced greatly by people who create, design, build, and or program and we call these fellows Creators and Engineers. However, one such field of these engineers is special as these people don’t build machines instead they create the algorithm that makes these machines work, algorithms that we call Software.

We have come a long way now and the software that we use has constantly undergone changes, giving us a variety of options to choose from. So, hence it would be only suitable if we were to list out the top five promising coding languages that are best suited for our next application development.

No6. PHP what now?

When considering a suitable programing language for custom web application development it is a good choice to consider PHP (Hypertext Preprocessor), given that it is open-source that is free to be used by everyone, and has little or no restrictions be it hardware or software wise.

There are a few positives of using this language the most important of which is that it can support subject-oriented development however it does not necessarily have to focus on that particular task alone. Apart from that since the PHP code is quite older than the others it has an extensive userbase and countless different mainframes and apart from this, the debugging process is much easier comparatively.

No.5 Python keeps a firm grip…

Python is a really good option for programming languages the reason primarily being the ease of accessibility that makes it available to the wide user base. Apart from that, it is easy to understand and compared to other programming languages, if such a situation were to arise due to some unforeseen reason.

The software presents a good starting point for beginners who wish to walk upon the field of programming and if one were to pursue data sciences then the necessity of python rises. The other use of python is it is used in the engineering process of automated outputs which is one of its key uses and a very important one at that.

No.4 C++ old school coding

Now so far all the different coding languages that we have seen are compatible with both mobile and web applications however if you were to pick the best choice for custom mobile application development then, the right choice would be to use C++ as its the most compatible when it comes to android based applications.

However, there is the requirement of the NDK that is necessary for the implementation of this code since it cannot be run solely by the C++ language. Apart from all this, the flaw is the unavoidable fact of its lack of flexibility that may cause some issues but not considered as a major one & it cannot be scratched.

No.3 Kotlin, you heard it right

So Kotlin is a free open source programming language that is easily accessible for developers. Given that it was initially developed for the JVM (Java Virtual Machine) however, it’s a pretty simple programming language that is suitable to use in terms of designing a custom android application.

One of the greatest benefits is that it’s cross-platform and is statistically typed which allows us to receive a clear idea as to whether the set variables are processable. Hence this eases the process for the developer and prevents any errors in the code.

No.2 Javascript, the real deal

Most coding languages are used for the back-end coding of a particular application but hey, when it comes to javascript it likes to stand out and by that, I mean quite literally! Javascript is an HTML coding language that is used for the front-end programmer for their uses and is easy to learn and use, hence making it a good option for developers.

Today a common usage of this is Node Js, which is a javascript based code that provides a runtime environment to help out in the process of server-side scripting, and this same code can be used via the client-side as well making it easy for both to provide excellent output that is dynamic and effective.

No.1 The one and only Java

Before we get into this we should clear the ground of any confusion by clearly stating that although Javascript and Java have the same initial lettering this does not make it the same or similar in any sort of way.

Java while although slightly old is extremely stable and is used by most if not all of the big organizations and is extremely compatible and important for a developer to know of this. Aside from that, it is used in android applications the reason simply is its easy compatibility.

Some describe it as the language used to create objects in programming but that’s not its only use. Java is perfect for those who wish to start programming and is an excellent medium for one to create applications.

There you have it! The top 6 coding languages that you should choose for your next application development in a nutshell. This is not the end and we have many more to come so stay tuned for more!

Happy Coding!

Top 5 AI and ML emerging trends in 2022 you should know

Rukmani Devi — Tue, 01 Mar 2022 19:44:15 +0000

Well, the top five trends do sound like a meager number when compared to the vast number of innovations that are taking the world by storm, how you say? Well given the fact that AI is present in every part of human life right now and machine learning has been around for quite a while it is only natural that greater achievements were due don’t ya think?

So many questions probe our minds but plenty are yet to be answered but that’s for later because right now we’ve got these five to take away your attention!

AVOID HASSLES WITH NO CODING MACHINE LEARNING, OR IS IT UNLEARNING?

Problem-solving? Well, this is a big one folks! Never has ML been easier than like that since forever! With this solution, the entire process is made cost-efficient and much more convenient for fellow employees.

It’s much easier than the conventional way and all ya gotta do is drag and drop so that your deadlines don’t drag on and your appreciation doesn’t drop either. The taxing processes of pre-processing, modeling, designing algorithms, collecting new data and all those other complicated terminologies cease to exist.

Although this does seem like a viable lazy day option it doesn’t necessarily work out with massive scenarios so it is recommended that it would be better if it was used by the smaller business, with no management team to run the entire thing. So as simple as that, When you got a struggle you also get a chance, a chance to grow.

INTERNET OF THINGS, WHAT THING?…. MMM, EVERYTHING!

Times change and so do things. But so much more remains the same but not without growth. The internet of things is one such creation that remains in a state of constant evolution with the involvement of AI/ML.

It is not hard for one to admit that things have been rapidly changing so it is easier said than done though. Nevertheless, the growth has been at a tremendous pace and will function in well over 24.1 billion devices and by the year 2030 and revenue of over 1.5 trillion, quite a sweet deal isn’t it?

The AI/ML that we look at now is the key to evolution, the key to the future of technology. It is not only a possibility but a great source that can change the way the IoT works completely. In simple terms, the AI/ML of today’s is the key to redefining our tomorrow.

NATURAL LANGUAGE PROCESSING, WHAT NOW?

Natural Language Processing in most AI-based apps that are currently dominating the market by reducing the stress on your finger and making you put your vocal cords to good use. In other words, NLP gradually picks up what is initially fed to it and converts it into data, and makes it accessible via voice command.

Currently, the GPT-3 rules the market that has this spectrum however there are plenty of significant alternatives to enter this market. The plus point of this particular feature is that not only does it work based on voice activation but also can convert words or text into a programming language. I don’t know about everyone else but I think that’s a steal!

EXPLAINING WHAT AI/ML EXPLAINABILITY IS… WANT TO KNOW, DON’T YOU?

So while this isn’t something based on a product it is something we should certainly consider. I mean take for instance that the usage of AI has become a dream and is something that many people want and probably have. However, when an AI bias is obstructed on this foundation doesn’t it call for some AI transparency and monitoring too?

While it’s not common, white-box models have the functionality to perform this task of creating transparency and maintaining a balance, and thereby the subtopic or the trend that is written here for once is literally what’s written, explaining AI and handling it.

METAVERSE. YES, IT IS A REAL THING

Well while we initially started trying to draw out the internet into our world through VR we have also been looking at ways to create a world like ours on the internet. How successful are we with that? Well, not much. However, with the potential involvement of AI/ML its sounds like a real possibility.

If everything checks out as smoothly as warm butter on toast we have a glimpse of what could be pure genius and none of this could have been possible without the rightful integration of AI with ML to create the perfect balance between two harmonious factors that could cause a rift to a brighter future.

Well, that’s all I’ve got for you but there is much more where that came from. If you’re into things that blow your mind or into technology that is revolutionary, we got all that at one stop.

So stay on your guard for more blogs to come. You can also visit the AI & ML services page on the Spritle Software website.