Dating software development - outsourcing company Boosty Labs

Dating software development

We are a dating software development company specializing also in blockchain outsource software development, outstaff development and tech consulting. For over ... years we have been offering the dating app development services. With much expertise in the outsource software development for the dating industry and a lot of understanding of this field we can transform your business and propel it to the next level.

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The reasons for software development for the dating industry

01.

Insecurity of dating apps.

02.

High competition in the dating industry.

03.

Limited functionality of a dating app.

04.

The application architecture does not support the required load.

05.

Sophisticated analytics for working with media companies.

06.

Slow data loading.

01.

Insecurity of dating apps.

02.

High competition in the dating industry.

03.

Limited functionality of a dating app.

04.

The application architecture does not support the required load.

05.

Sophisticated analytics for working with media companies.

06.

Slow data loading.

Application of blockchain technologies in the dating industry

Dating apps are becoming an increasingly common way to meet new people. Some companies are trying to maintain interest in dating apps through technology, using blockchain and artificial intelligence for dating advice. Others may even accept cryptocurrencies as payment for using the platform.

Blockchain technology will make the online dating industry transparent. Already today, there are several platforms that, using this technology, are able to guarantee the integrity of online relationships: 

Hicky

It is one of the blockchain startups that is built to make this transformation happen. Hicky aims to bring credibility to the industry by leveraging the immutability of the blockchain. According to research, more than 50% of all people who have used online dating platforms have lied to the other person when communicating on the Internet. Lack of trust has made online dating not only frustrating but even dangerous. Hicky subjects new users to a rigorous vetting process to ensure that it fully matches its claimed identity. Identification will include voice checking and face scans. The decentralized offline dating (DAD) mechanism used will reward users with HKY tokens for good behavior and punish bad ones, which ultimately simplifies the use of the platform and makes it favorable for all participants.

Luna

Luna is another blockchain-based solution designed to tackle the challenges of the online dating industry. Luna uses a constantly improving matching algorithm. The user is notified of the match and if he / she agrees to a meeting, both participants receive tokens as a reward. If the provided information about the identity turns out to be false, all received tokens are taken back. Luna's own cryptocurrency is also awarded to users who read and respond to messages in a timely manner. This makes the platform very interactive as it not only helps to find love, but also allows you to earn tokens that can be exchanged on cryptocurrency exchanges. 

Viola.AI

Another platform worth talking about is Viola.AI. The project aims to use artificial intelligence along with blockchain technology to increase the transparency of online dating. Viola.AI uses a personal identification system, checking each user's photo for matches with social media accounts. As soon as the information is confirmed, it is entered into the blockchain. The immutability of the blockchain prevents any identity theft, protects against data tampering, and supports the Viola.AI artificial intelligence infrastructure. The platform also has a system for encouraging users. The Viola cryptocurrency is awarded as a reward, for example, for valuable relationship advice. A step forward for the Viola.AI project was the use of smart contracts.

Software development services for the dating industry

Duplicate accounts or abuse of privileges for new users

Solution: face recognition technology can be used as a verification tool – it offers exceptional opportunities for dating platforms to control and maintain a healthy environment, encouraging people to be more open by eliminating all kinds of potential threats.

Child abuse through dating apps is one of the most pressing and pernicious issues in online dating

Solution: the ability to accurately determine age, which prevents minors from accessing online dating services.

Low profitability due to insufficiently competent user base

Solution: the introduction of facial biometrics that allows you to create a user base of verified people.

Benefits of software development for the dating industry

Protecting personal content of users

Ensuring security and privacy using artificial intelligence and / or blockchain.

Quickly forming an opinion about another person

Content analysis using artificial intelligence and machine learning to tag images, videos, sounds and texts  could seriously add value to online dating as a service.

Users are overly cautious about opening up to a complete stranger

The use of augmented and virtual reality can solve the problem.

Love cannot be explained by an algorithm, but...

There is no technology that can guarantee that two specific people will coincide in real life, although algorithms and machine learning know how to recommend potentially interesting people based on their hobbies, education, and other characteristics, but the chemistry that occurs between people is much more complex.

Digitalization trends in the dating industry 

In 2005, 57% of online dating led to dating in real life, and in 2017 the figure began to decline and reached 34%. There are reasons for this. In order for a strong couple to form, the goals and requirements of the partners for each other must coincide. The questions of the questionnaires and filters on the service help to ensure this coincidence. And if the filters work superficially, the questionnaire is not completely filled out, the user indicated incorrect or frankly false information?

The number of users has increased significantly, in this regard, a huge amount of time is spent looking through the profiles and finding a suitable pair. Fake accounts are still stealing our time, and the men in the photographs don't really exist. In addition, dating sites are drowning in information trash and spam. Hidden subscriptions get access to bank cards. Scammers use chatbots to carry out a lot of clever scams. In this regard, services are poorly protected from cyber attacks, and confidential data is often leaked.

In addition, there is one more nuance. Often people themselves distort their real goals and interests, but not intentionally, of course. They ask for one thing and choose another. Under the pressure of stereotypes adopted in society and their vague ideas about the future soulmate, those requirements for a partner are often indicated, which in fact are not very important for them.

An innovative solution that can secure virtual communication and make it effective is the use of artificial intelligence to help users choose partners. Traditional dating sites are in no hurry to implement it, and in vain, because startups are stepping on their heels. A striking example is the Denim application, which has introduced artificial intelligence into its services. Fraudsters or attackers trying to trick the system now face an individual matchmaking manager: artificial intelligence and automated algorithms.

Another example of incorporating AI into dating is Tinder's “Super Likeable” feature. It allows you to predict which type of men or women is most suitable for the user, and, accordingly, will offer to chat with suitable partners.

In January 2016, the HeyBlinkMe app was released, making quick dates with live video. A couple of users receive two questions for the first acquaintance and start chatting via video. AI analyzes the emotions of the communicators, and if it catches dissatisfaction or unwillingness to communicate, the video turns off and resumes only if both people agree to continue the interrupted conversation.

It is obvious that the introduction of digital technologies in the field of dating is associated with the need to ensure security.

A number of projects (for example, BigData Love, Matchpool) are working to ensure maximum security by identifying users through the blockchain and intelligent verification, that is, confirming the authenticity of data in order to solve the problem of spreading fake profiles. And these are not all the possibilities of artificial intelligence.

Artificial neural networks created from simple processors can solve complex problems based on analysis, following the example of the work of the human brain. The more people are registered in the application, the larger the database and the more accurately the artificial intelligence works. Neural networks are capable of learning and are able to perform three tasks.

  • Classification. All users are easily grouped by the data they provide.
  • Prediction. The next step of the user is determined based on the situation at the moment. Therefore, individual recommendations for each specific person and the preparation of a personalized selection of questionnaires are possible.
  • Recognition. The facial features of the users you like are highlighted and recognized.

Search engines actively use big data processing technology and successfully deliver ads based on our requests. They use a huge amount of information about each user: favorite music, political preferences and much more. The same principle works in dating. But using only information provided by the user himself is too primitive for neural networks. They do a tremendous amount of analytical work.

The user's preferences will be taken into account by analyzing his real behavior on the dating site: what photos he likes, whose profiles he views, to whom he writes, with whom he calls up and communicates the longest.

Also, morphological and semantic parsing of text in user dialogs will be performed using special algorithms. So you can determine the purpose of registering a person on the site, his interests and character traits, the manner of communication.

In addition to facial features, anthropometric data are also taken into account, that is, the main physical indicators: height, chest circumference, waist. Playlists and purchases from electronic stores will be examined. If these are not one-off purchases, it is quite easy to assess the taste and needs of a person. Suitable candidates will be proposed on the fly.

This is what information technology developers are planning to implement: calculating profiles with false data, converting speech to text, analyzing mood in text and audio, recognizing faces, biometric data and GPS, analyzing information from the previous generation.