Esync Dating

  • Client: Esync Dating
  • Technologies: HTML, jQuery, PHP, Python, AWS S3, AWS Cloudfront
  • Industry: Online Dating

What is esync?

esync is a dating app that does all the work for it users, that is, people who are looking to date in the Southeastern Asian region. Powered by intelligent algorithms, it has the ability to find the best match for its users among the registered verified singles in the region. So, instead of the user going through each single profile to find a person they want to date, the application does the job for them and finds them the best match. .

ecync is the most effective dating service with phone consultation in Southeast Asia with over 7 years of proven track record. Unlike most online dating services, esync goes the extra mile to find the most compatible match for singles, consult them on phone dating, and even arrange offline dates. .

The Problem

The pace at which everyone seems to be getting busier by the day, makes it evident that surfing through dating sites to find the perfect date is also too time-consuming. Thus, the objective was to make this application a rather smart way to do more than just finding you a date match based on your profile.

There had be functionalities for phone dating consultations, offline dates coordination, and date confirmations. To make all this possible, the site needed to collect all the possible material information about its users so as to provide them with eligible and verified singles.

Challenges

There are a couple of challenges that we need to overcome

Compiling Data

Though just like any other dating site, a user would need to register with the site and create a profile. However, since recommending suitable matches is something that the site needs to do for the user, the profile creation process needed to include a detailed quiz that elicits all important details about the user’s dating profile. Our challenge was to shape this process in such a manner as prevents it from being boring and lengthy, and still being able to get enough information for the database, based on which date recommendations will be made. .

Match Recommendation

Since this site is not like a marketplace, a lot needed to be done at the backend. Unlike in the case of any of the popular dating sites, the matching had to be done on our end. This needed an algorithm that can make accurate matches for the site to recommend to its users who sign up for dating services.

Compatibility Reports

Match reports are something unique to esync. When the site recommends a match, it sends an auto generated an in-depth report on how similar both the users’ scores are on the compatibility questionnaire. Based on that, the user can pick a match and esync consultants can arrange a date.

Solutions

Here’s how team Zestminds resolved these challenges.

Personality Questionnaire

To ensure that the user fills in the most accurate information, we devised a questionnaire process with a great user experience. The user needs to answer 16 questions based on their personality in order to complete profile creation. We used AI based Python script to create this questionnaire that would be used to make match recommendations for registered users.

Automating Matches

We created a system that can compare the information from the database of various singles and predict the best match results. We made it possible through AI based Python script. As the system would make recommendations, it would also auto generate the compatibility report to be sent to the matching users.