
Flutter Developer Needed for AI-Powered Social App with Meme & Video Generators + Analytics (GCP)
Upwork
Remoto
•1 day ago
•No application
About
Description: We’re building a cutting-edge social networking app with AI at its core. Users will: Post, follow, and engage in a general social feed Interact in private groups for family or close friends Ask questions or get suggestions via an AI assistant Create AI-generated memes instantly from text prompts Generate AI videos from text, with optional voiceovers or music Join livestreams (free/open-source solution integrated) Platform-wide analytics to track usage, engagement, and feature activity We need a Flutter expert to build a cross-platform mobile app and connect it to GCP backend services, including tracking events and user activity for analytics. What You’ll Do: Build a modular Flutter app: feed, private groups, AI tools, livestreaming Integrate AI Meme and AI Video generators via APIs Connect to GCP backend (Firebase, Firestore, Cloud Functions, BigQuery) Implement analytics for: User engagement (DAU, session length, retention) Feature usage (AI, memes, videos, livestreams) Content performance (likes, shares, comments) Technical metrics (crashes, API usage, device/platform stats) Ensure smooth, real-time performance and excellent UI/UX Work closely with founder to deliver MVP fast Requirements: Strong Flutter/Dart experience Experience integrating AI APIs (Perplexity, AI image/video generators) Familiarity with GCP services and analytics (Firebase Analytics, BigQuery, Crashlytics) Experience with real-time features (chat, notifications, livestream) Ability to deliver quickly and iterate Bonus: Livestreaming SDK experience (Jitsi, Agora, Ant Media) Experience building social apps or creative content tools Knowledge of cross-platform architecture best practices Timeline & Budget: Full MVP build: 8–12 weeks Cross-platform iOS & Android Budget: Fixed $4000 How to Apply: Share Flutter apps you’ve built, especially social or AI-powered Describe your experience with GCP and analytics integration Confirm availability and estimated timeline