Fate Dating App — AI-Powered Matchmaking

Fate Dating LTD needed a dating platform that prioritizes meaningful, long-term relationships over casual swiping. The app required a voice-first AI compatibility engine that matches users based on personality traits, values, lifestyle preferences, and relationship goals.

The technical challenge: building a matching algorithm sophisticated enough to predict long-term compatibility while keeping the user experience simple, engaging, and trust-driven.

I designed and developed Fate Dating, a full-featured AI-powered matchmaking platform for iOS and Android, now live on both the App Store and Google Play.

Voice-first AI matching that learns user preferences over time

Smart compatibility engine using multi-factor personality and values assessment

Curated daily matches (no swiping) ranked by compatibility score

Detailed profile creation with lifestyle preferences, relationship goals, and deal-breakers

Advanced filters (age, location, education, religion, ethnicity, interests)

Photo verification system to reduce fake profiles

Video profile introductions for authentic first impressions

In-app messaging with text, voice notes, and photo sharing

Video calling for virtual dates

AI-generated icebreaker prompts and conversation starters

Read receipts and typing indicators

Match expiration timers to encourage meaningful engagement

AI-powered content moderation for photos and messages

Report and block functionality with rapid response team

Identity verification with government ID and selfie match

Privacy controls for profile visibility and location sharing

Background check integration (optional premium feature)

Freemium model with tiered subscription plans (£1.99 to £9.99/week)

Token-based system for premium features

Boost feature for increased profile visibility

Super likes and priority matching

In-app purchase system for virtual gifts

Clear feedback on why matches didn't progress

Relationship milestone tracking

Success stories showcase within the app

Couple feedback surveys to continuously improve the matching algorithm

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

Backend: Node.js with microservices architecture

Infrastructure: AWS (EC2, ECS, S3, CloudFront, SQS, Lambda, ElastiCache)

Database: PostgreSQL for user data and match history, Redis for real-time caching, Elasticsearch for search and filtering

AI/ML: TensorFlow for compatibility prediction models, NLP for content moderation

Real-time: WebSocket for messaging and presence indicators

Payments: Stripe and App Store / Play Store in-app purchases

Analytics: Mixpanel for user behavior, custom dashboards for match success metrics

I led the full development lifecycle: system architecture, mobile UI/UX implementation, voice-first AI matching algorithm, real-time messaging infrastructure, AI moderation pipeline, payment and subscription systems, and App Store / Play Store deployment. I collaborated closely with Rakesh Naidu and the Fate Dating team to continuously refine the matching algorithm based on user engagement and relationship outcome data.

Built a TensorFlow-based compatibility prediction model that scores matches across personality, values, and lifestyle dimensions

Designed a voice-first onboarding flow where the AI learns user preferences through natural conversation

Implemented an AI content moderation pipeline using NLP that flags inappropriate messages and photos in real time

Built identity verification with government ID scanning and live selfie matching

Designed a real-time messaging system with WebSocket, supporting text, voice notes, photo sharing, and video calls

Created a feedback system that tells users why matches didn't click, improving engagement and retention

Successfully launched on both App Store and Google Play, featured in The Guardian, BBC, WIRED, and AP News