Social Engagement

Transforming Social Engagement with AI-Powered Mobile Innovation

Overview of the Project

Lit is a dynamic social activity and engagement app designed to foster meaningful connections. Built with Expo and React Native, the app empowers users to create, explore, and join a variety of activities seamlessly. Whether it's sports, social events, or productivity sessions, Lit enhances engagement with real-time chat, location-based discovery, and robust activity management tools.

Now, with the integration of AI-driven engagement insights, Lit offers users tailored activity recommendations and predictive analytics to maximize participation and enjoyment.

Key Numbers
41%
Increase in Activity Engagement: Thanks to AI-driven recommendations and push notifications tailored to user behavior.
62%
Higher User Retention:
Due to personalized engagement insights and robust offline support.
150%
More Efficient Event Management:
Real-time engagement metrics empower organizers with actionable insights.

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Core Features with AI Integration

User Authentication & Profiles
Secure authentication via Google, Apple, and phone-based OTP.
AI-enhanced profile insights help users identify trending activities that align with their preferences and past engagements.
Activity Creation & Management
Effortlessly create and manage activities with titles, dates, locations, and real-time updates.
AI monitors attendance trends and provides engagement metrics, offering insights on peak activity times via Amplitude analytics.
Explore & Join Activities
Discover trending or nearby activities using react-native-maps.
AI-driven filters recommend events based on user location, preferences, and historical participation, ensuring highly relevant results.
Join activities with a single tap for seamless engagement.
Real-time Chat Integration
Activity-specific chat rooms powered by real-time messaging.
AI-enhanced sentiment analysis optimizes moderation, identifying opportunities to improve user experience.
Notifications & Reminders
Push notifications ensure users never miss an event or update.
AI predicts ideal notification times to maximize user responsiveness, based on individual behavior patterns.
Offline Support
@tanstack/react-query Provides Optimized Caching And Synchronization For Offline Data.
Users can engage with app features even without internet, with data syncing automatically when online.

AI-Driven Features

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Activity Recommendation Engine: Machine learning algorithms analyze user preferences, social graphs, and attendance history to recommend the most relevant activities.

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Engagement Insights: AI analyzes participation data to suggest improvements for activity organizers, such as timing adjustments or category expansions.

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Sentiment Analysis in Chat: NLP tools monitor real-time chat to identify sentiment trends, enhancing communication quality and user satisfaction.

Technologies and Tools Used

Frontend Development

React Native

Core framework for smooth mobile app development.

Expo Router

Simplified navigation with deep linking capabilities.

Zustand

Lightweight state management for enhanced scalability

Networking & Data Handling

Axios

API communication

React Query

Efficient data fetching and caching

UI Enhancements

React Native UI Lib

Polished interfaces

@react-native-community/blur

Enhanced visual appeal

Geolocation and Mapping & Utilities

react-native-maps

to facilitate location-based activity discovery

Expo Splash Screen and expo-font

Seamless design integration
Quantitative and Qualitative Results
41%
Increase in Activity Engagement: Thanks to AI-driven recommendations and push notifications tailored to user behavior.
62%
Higher User Retention:
Due to personalized engagement insights and robust offline support.
150%
More Efficient Event Management:
Real-time engagement metrics empower organizers with actionable insights.

Lessons Learned

Key Takeaways
AI-driven recommendations enhance user experience and engagement by delivering hyper-relevant suggestions.
Sentiment analysis in chats improves the overall quality of communication and fosters a safer user environment.
Combining robust offline support with seamless synchronization boosts app usability and accessibility.

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Conclusion

Summary of the Case Study

Lit showcases the power of combining state-of-the-art mobile development technologies with AI-driven insights to redefine social engagement. With tailored activity recommendations, real-time chat optimization, and robust offline functionality, Lit sets a new benchmark for activity-based apps.

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Stay in the know!

From success stories to industry trends, our experience keeps you informed and inspired.
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