AI Dating App (Voice-First + WebRTC)

A startup wanted to disrupt the dating app market with something different: an AI-powered dating platform built around voice interaction instead of endless swiping and texting. The goal was to create deeper, more authentic connections through real-time voice chat and AI-driven compatibility matching.

They needed a full mobile app built from scratch, covering everything from the matching algorithm to voice infrastructure to monetization.

I designed and developed a complete AI dating app for iOS and Android, focused on voice-first interaction and intelligent matchmaking.

AI-powered smart matching engine that learns user preferences over time

Real-time voice chat rooms for 1-on-1 and group conversations

AI-driven conversation starters and icebreakers

User verification system with photo and voice authentication

Profile creation with personality-based questionnaires

In-app messaging with voice notes and text

Location-based discovery with privacy controls

Subscription tiers with premium features (unlimited matches, priority visibility, advanced filters)

Push notifications for matches, messages, and voice chat invites

Content moderation and safety reporting tools

Frontend: React Native (cross-platform iOS & Android)

Backend: Node.js with RESTful APIs

Database & Auth: Firebase (Firestore, Authentication, Cloud Messaging)

Real-time Voice: WebRTC integration for low-latency voice chat

AI/ML: Custom matching algorithm and NLP-based conversation features

Payments: Stripe and in-app purchase integration for subscriptions

Cloud: AWS for scalable infrastructure

I led the full development lifecycle: architecture design, UI/UX implementation, backend API development, real-time voice infrastructure, AI integration, payment systems, and App Store / Play Store deployment. I worked closely with the founding team to iterate on the matching algorithm based on early user data.

Built a WebRTC-based voice chat system supporting 1-on-1 and group rooms with sub-200ms latency

Designed an AI matching engine that improves over time by learning from user swipe patterns, conversation engagement, and feedback signals

Implemented dual verification (photo + voice authentication) to reduce fake profiles and build trust

Built NLP-powered conversation starters that generate contextual icebreakers based on shared interests and profile data

Designed a content moderation pipeline that flags inappropriate voice and text content in real time

Successfully launched on both App Store and Google Play