Dating App - ConviConnect

Dating App -
ConviConnect

Type

Mobile App

Industry

Team size

4 people

Location

Netherlands

Timeline

12 weeks

Technologies

React Native, NodeJS, NestJS

Demo Account
Email: test123@yopmail.com Password: 123456@aA

Demo Account
Email: test123@yopmail.com
Password: 123456@aA

Dating App Screens

Project Overview

This is a next-generation dating app that matches users based on shared preferences, interests, values, lifestyle, offering a more personalized and meaningful connection experience. What truly sets it apart is its unique safety-first approach—the app recommends vetted dating locations such as cafes, restaurants, or public spaces that have been reviewed for safety and comfort. This helps ensure that first-time meetups happen in secure, trusted environments, reducing the risk of uncomfortable or dangerous situations. The app also integrates real-time check-ins and optional safety alerts, giving users and their loved ones peace of mind. Designed with modern dating challenges in mind, this platform prioritizes both compatibility and personal safety.

Key Features

Profile Setup: Users must complete their dating profile to access dating functionalities.
1-on-1 Matching: Discover and connect with compatible users.
Matches: View your list of users who have been successfully matched.
Recent Profiles: List of profiles that have been either accepted (grabbed) or declined (rejected).
Match History: Records of previously matched users, including completed or cancelled dating sessions.
Community Dating Events: Automatically display events categorized as "Dating" within a 10km radius
Community Social Events: Display "Social" category events within a 10km radius that are still active.
Heatmap: Visual representation of nearby dating and social activity.
Chat: Real-time messaging between users.
AI Assistant Chat: This system enables users to provide detailed information about their personality traits, interests, and preferences. The inputted data serves as the foundation for the AI to personalize its knowledge and tailor interactions according to each user’s unique profile.
Date Wallet: view funds or credits used within the dating platform.

Challenges

1. Ensuring user authenticity and complete profiles before allowing interaction
2. Delivering accurate and meaningful 1-on-1 matches based on personal preferences
3. Managing profile interactions (likes, declines) while maintaining a smooth user experience
4. Tracking match history and dating outcomes for better user insights and personalization
5. Making users aware of real-time, relevant dating and social opportunities nearby
6. Representing local activity density in a user-friendly way
7. Enabling real-time, secure, and responsive communication between users
8. Customizing the AI assistant’s responses based on user personality data
9. Monitoring and displaying digital wallet activity tied to in-app transactions

Solutions

Require mandatory profile setup including verification steps before unlocking dating features
Use AI-driven compatibility algorithms that consider interests, traits, and preferences for high-quality matching
Provide a streamlined interface to manage Recent Profiles and Matches
Implement match history logs with metadata on interaction type, outcome, and date
Automatically display local community events using geolocation filters (10km radius)
Use heatmaps to visually depict active users and event clusters in the vicinity
Integrate live chat modules with moderation and reporting features for safe and responsive interaction
Use user-fed preference modeling to train the AI assistant for context-aware, personalized interactions
Provide Date Wallet with transaction history, credit balance, and promotional fund tracking