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SmartRent 

In recent years, the African real estate market has blossomed and was ranked to be the most attractive region worldwide for investments in real estate. Said that, people are actively looking for better investments and also interestingly in search for a way in which will help them take their decision wisely and quickly.

Mobile Application To Simplify The Process of Buying, Selling or Renting Property 

The client required an application that allows its users to view the list of available rental and sale of real estates and properties.
One of the key concerns of sellers is inability to estimate prices for theLearn about our game-changing AI solutions and strategies used to empower businesses. Our team is made up of brilliant AI Engineers, Data scientists and Analysts who knows every step of creating the right intelligence for any business needs. Talk to our experts! properties thus losing out huge potential of clients by not pricing according to the on-going housing market rates in the economy. Hence, therefore one of the core features of the application is the machine learning model used to predict the best price for that property using certain factors. In this way the seller is aware of what the market price is and how much he/she expects.

In addition the client wanted to integrate the app with NoSQL RavenDB database for processing the data securely and quickly.


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This application can help millions of users to find a property that matches their budget and a place to live as they desire. And also a profitable platform for those who are selling their property. The application allows the available properties to be displayed as a pin in the Google maps for ease of location. All this makes it possible for the interested users to narrow down their search for properties.
One of the interesting features of this app is Augmented Reality takes the users through a virtual tour of the properties over the iPhone screen (exclusively made available for IOS only) With the integration of the Machine learning the application also allows users to predict the value of the property and then help users decide on the price at which they can sell the property. Also as the users are registered with it is easier for the seller to reach the customer and also target them.


We developed a cross platform hybrid mobile app that is compatible across multiple devices and platforms viz. Android, iOS & Windows phones and tablets with a complex yet efficient system architecture. The application was also upgraded to make it responsive for better interface on mobile devices and smaller display screens.

Our intelligent application uses Advanced Machine learning in order to predict the price of a property. Users are then able to compare the price predicted by our system and their own price and then choose which one to publish. This application uses a wide variety of public-record data— including tax assessments, sales transactions, images of homes, MLS listing data, and other information provided by homeowners—as inputs to its price estimation algorithm.


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Aphelia 

Aphelia is an AI based resume parser which can extract unstructured data from resumes and present them in a more structured format. The potential of using AI in the recruiting process is best for large companies and could radically alter the hiring process.

According to Glassdoor, on average, a corporate job offer attracts nearly 200 resumes, and of course, by the norm, it will be a human recruiter who has to go through all of the received 200 resumes. Many existing HRM systems do not compose a component for resume parsing extraction because getting structured data from an unstructured text is not an easy task. Most resume parsing and extraction products available in the market use rule-based or Named Entity Recognition techniques to extract and identify particular words that correspond to the attributes of the candidate. The problem with rule-based methods such as using regular expressions is that these rules aren’t flexible enough to cover all possible resume formats. In named entity recognition (NER) based resume parsers, only words can be categorized, which wouldn’t work in the case of resumes because, in resumes, different attributes are of different structures.

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Aphelia can solve the need for extraction and structured presentation of data in existing recruitment systems so that recruiters can view each resume in one structured way instead of going through countless different structures and formats and then interpreting information from them.
Another unique feature of Aphelia is that it can get better at information extraction as it is fed more and more resumes due to the extraction algorithm’s learning capability. Also, this automated self improvisation is rarely seen in most of the similar products.


Aphelia is an AI-based, smart resume parsing tool that can save the hassle of going through individual resumes and interpreting information for recruitment professionals. It can extract necessary information from unstructured resumes and present the data in a more readable and structured format. In addition, the data output by Aphelia can be used to rank candidates depending on how much the extracted attribute of each candidate matches the requirement provided by the recruiter. As Aphelia is an API based tool, it can be easily used by enterprises to integrate their HRM systems, with Aphelia’s high-end resume parsing and extraction accuracy.

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AI based money lending platform

Our client required a platform that enabled them to lend microloans to freelancers, as it’s predicted that a fair percentage of Millennials will no longer be in an office job, instead choosing the life of a freelancer. With the world taking by storm with digital transformation and the rise in millennials, a demand for such a system is expected to be very high.. Thereby, a lending system needed to be developed to freelancers, and medium scaled borrowers with the minimal information, but making sure the loan is processed within a few minutes while making sure the information is authentic such as their existence, financial background, spending habits etc. The information is then processed and displayed to the admin to either approve or reject the loan within a short time.

This application sounds simple but this is just the tip of the iceberg. What is hidden is the complexity and the technical challenges in determining the payback ability by calculating the credit score and checking the eligibility of the customer through financial, behavioural and social scoring of the customer within seconds.

The client required us to develop this application so they could target freelance marketplace, so they are able to provide loans to borrowers with the minimal time taken to process, verify and issue loans while reducing the average time taken by a financial institution to make a credit decision from 3-7 days, reduce the hassle of going through lengthy paperwork and visiting banks.


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This application helps the client to view all the loan related details in one place and also generate reports and do follow ups. The mobile application and the admin web application revolutionizes the way of lending loans and processing them.

We at rootcode Labs, along with our core engineering capabilities and expertise in artificial intelligence came up with an innovative solution bridging the client company with the freelancers in the US community.
This application acts as a platform incorporating behavioral science and empowering individuals to grant micro-loans to credible freelancers with a higher credit score and less risk in the developing world through a rigorous verification process of calculating the credit score, make a credit decision easily, improve timely payments, lower default rates, and improve the overall customer relationship. The use of artificial intelligence allows for instant decisions regarding the loan application, determination of loan terms, and quick distribution of funds.
The application analyses the source of income, personal details, spending habits, previous credit history records and social media behaviour in order to decide the credit score. The factors are identified using advanced machine learning and integration of trusted third party tools in order to predict an accurate credit score. The loans are issued after reviewing the credit score.


Quality Assurance

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OUR QUALITY ASSURANCE PROCESS

Requirement verification

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Tech Tools

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Case Studies

Sharing information-rich resources for businesses and technology
enthusiasts with our latest industrial advancements.

SmartRent

iOS, IoT

Aphelia

AI

AI based money lending platform

AI

Quality Assurance

Tailored Solution For Every Challenge

Enhance your software quality without losing momentum.

Don’t let the bugs be a bottleneck for deployment

OUR QUALITY ASSURANCE PROCESS

Requirement verification

Test strategy /test scenario/test cases

Developer Testing

Automation testing

Defect reporting & verification

Performance testing

Continuous integration

Tech Tools

We’ve got you covered

Case Studies

Sharing information-rich resources for businesses and technology enthusiasts with our latest industrial advancements.

SmartRent

iOS, IoT

Aphelia

AI

AI based money lending platform

AI

Tailored Solution
For Every
Challenge

Enhance your software
quality without losing
momentum.

We’ve got you
covered

Sharing information-rich resources for businesses and technology
enthusiasts with our latest industrial advancements.