FindABohra – AI-Powered Dating App with Intelligent Matchmaking

Project Overview

FindABohra is an advanced AI-powered dating application designed to foster meaningful, secure, and personalized connections. Built with Flutter for a seamless cross-platform experience, the app combines AI-driven matchmaking with real-time content moderation, ensuring both safety and engagement for users.

FindABohra is a cross-platform dating application enhanced with AI-driven matchmaking and real-time safety features. Built with Flutter, it provides a smooth, mobile-first experience across iOS, Android, and tablets. The platform integrates AI-powered image moderation, NSFW detection, and chat filtering to ensure user safety. A smart matching engine combines user preferences, personality traits, and behavior patterns to deliver meaningful connections. With tiered subscriptions, secure media storage, and push/email alerts, FindABohra balances innovation, safety, and engagement in one scalable ecosystem.

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Technology Side

  • Frontend: Flutter (iOS, Android, Tablet, iPad)

  • Backend: Node.js + Express

  • Database: MongoDB

  • Media: AWS S3 + CloudFront

  • AI: Custom ML + third-party APIs for moderation

Notifications: Firebase Cloud Messaging + AWS SES

90

Days Project

About

FindABohra was designed as a next-generation dating app where user safety and intelligent matchmaking work hand-in-hand. AI algorithms verify media in real time, ensuring inappropriate content is flagged instantly. The platform balances security with engagement by offering swiping, boosts, advanced filters, and subscription-based upgrades. Its modular matching engine enables fast scalability as user numbers grow, while AWS infrastructure ensures reliable performance and optimized costs. By prioritizing both trust and user experience, FindABohra creates an environment where meaningful connections thrive. The app showcases how advanced AI moderation, thoughtful design, and scalable technology can transform dating platforms into safe, intelligent, and globally scalable ecosystems.

Core Features

User Safety & Moderation

  • AI-powered photo moderation detecting nudity, offensive gestures, and inappropriate visuals in real-time

  • AI-moderated chat with NLP-based profanity filters and NSFW image detection

  • Multi-layered content verification (client-side checks, backend AI, and admin review) for maximum trust

Intelligent Matchmaking

  • Smart matching engine blending swipe mechanics, personality analysis, preferences, and behavior patterns

  • Subscription tiers offering unlimited swipes, boosts, advanced filters, and priority matches

  • Instant notifications via push and email for matches, messages, and likes

Seamless Cross-Device Performance

  • Single Flutter codebase delivering native-like speed and UI across iOS, Android, tablets, and iPads

Engineering Challenges & Solutions

  • Real-Time Moderation: Developed scalable middleware combining image classification and NLP moderation with sub-500ms response time

  • Scalable Matching Logic: Designed modular matchmaking engine leveraging MongoDB aggregations and AI-based scoring for high concurrency

  • User Trust & Safety: Implemented multi-layered AI + admin moderation workflows ensuring a secure community

  • Cloud Cost Optimization: Media offloaded to S3 + CloudFront, moderation tasks scaled via Lambda microservices, and auto-scaling EC2 clusters

Results & Impact

  • Successfully launched beta version with strong adoption and user engagement

  • Moderation accuracy above 95%, significantly reducing unsafe interactions

  • AI-enhanced matching increased session durations and boosted subscription conversions

Scalable cloud-based architecture ready for global rollouts with regional auto-scaling

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Customer feedback

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