The Challenges
Most young adults have no time to spare to meet people in their neighborhood. A cluttered space combined with misleading profiles and hookup culture dominates the dating app scene. Most users uninstall the apps owing to the app’s inability to transpire virtual conversations into real-world settings. Combining this with a lack of security and scrutiny of dating profiles leads to frustrated users.
The Process
We switched on the discovery mode to identify the gaps in the cluttered dating app industry to better define the solution for our target market. We followed it up with requirements gathering that could help determine the key features that can enhance engagement and improve conversions. We defined detailed work scope and dating app development cost before proceeding.
Our main motto was to keep the client in the loop. The instant feedback, transparency and user-centric development helped us accelerate the processes and launch the application faster. We initiated the beta testing to improve the application before the final launch.
Proposed Solutions:
- Geolocation based dating app development to help connect with people in the neighborhood
- Authentication for better security and fewer fake profiles for enhanced Tinder clone app development
- ML-driven algorithm to improve profile matching for better engagement.
- Limit to send messages before setting the date
The Features
AI-based Matching
The algorithm will identify the best matches for the profile based on defined criteria, including behaviour, location, interests and other factors.
In-app Chats
Connect with the interested profile after swiping within the application before taking it to other platforms.
In-app Video Calls
Connect with the users you have just matched using video calls before moving with the physical dates. This will help you understand if the match is truly a fit for you.
Push Notifications
Learn about the latest profiles that match your interests, know who has swiped left and get updates on everything in real-time.
Geolocation Searches
Get into the location and find people of interest in the location near you.
The Result
The UI was developed using SwiftUI kit for iOS and React Native. We also used MongoDB technology to build the application database, which helps implement Machine Learning and initiate seamless conversations between the front-end and back-end.
Your Vision, Our Roadmap
At Lavorg Technologies, we immerse our expertise in your unique objectives to foster boundless acceleration as we dive into the DNA of your industry.
We Commit to Constant Improvement
- Client-centricity is the cornerstone of our business.
- We focus on delivering result-oriented solutions.
- On-time delivery, every time, without compromise.