Real-Time Beauty Rating and Social Engagement App Development

Jignesh Mayani

Connect Through Confidence and Community

1-10 is a real-time beauty rating and social engagement app that blends dynamic user interaction with gamified scoring and secure communication. It encourages meaningful profile discovery through ratings and gifts, while maintaining privacy, moderation, and fairness at every layer.
Built for a highly engaged social audience, the app transforms simple gestures—like rating a profile or sending a gift—into a deeper system of incentives, recognition, and communication. With secure real-time updates and strict anti-manipulation systems, it keeps interactions fun, fair, and rewarding.
To enable discovery, feedback, and connection at scale, the app offers:
Profile-based beauty rating from 1 to 10 with real-time score updates
Gender-based profile matching and rating eligibility
Gift catalog that impacts user scores positively or negatively
Dynamic leaderboards based on ratings and gifts
Real-time chat unlock based on rating thresholds and purchases
In-app purchases for gifts and premium features
Cross-platform push notifications for gifts, ratings, and chat requests
Moderation and fraud prevention to ensure safe user interactions
These features create an immersive platform where user attention translates into recognition, social value, and new connections—backed by a technically rigorous and scalable infrastructure.

What We Delivered to Meet Complex Product Demands

Structured User Data Capture: Built robust forms for collecting structured personal data, with real-time validation and accessibility support across Android and iOS.
Gender Selection Enforcement: Applied client-server validation and enforced relational constraints to maintain consistent gender data for secure filtering and feature gating across services.
Image Validation & Compression: Integrated pre-upload validation and adaptive compression to ensure image quality, reduce payload size, and optimize performance under varied network conditions.
Scalable Cloud Image Storage:  Employed AWS S3 for scalable, durable cloud storage of user profile images, using signed URLs for secure upload/download and efficient multi-image handling.
Client-side Image Optimization: Implemented caching strategies and modern image formats for fast loading and smooth user experience in image-heavy profiles.
Gender-based Profile Filtering: Developed backend access controls and filters to restrict rating profiles strictly to opposite gender, enforcing business logic securely on server side.
Validated Rating Inputs & Uniqueness Enforcement: Restricted ratings to integer values with validation on frontend and backend; enforced uniqueness of ratings per user-profile pair via database constraints to prevent manipulation.
Real-time Rating Updates: Leveraged WebSocket to push rating aggregate updates instantly to all relevant clients.
Age-Appropriate Moderation: Applied backend moderation rules to enforce age-appropriate interactions and content visibility.
Gift Catalog with Impact Metadata: Created a detailed gift catalog system with gifts affecting user Beauty Scores positively or negatively, driving dynamic user engagement.
Transactional Gift Management & Quota Control: Built backend services tracking gift transactions, managing free gift quotas, and updating Beauty Scores atomically to maintain consistency.
Event-Driven Beauty Score Recalculation: Used AWS Lambda to handle both real-time and scheduled batch recalculation of Beauty Scores based on gifts and ratings.
Historic Score Storage for Analytics: Stored historic Beauty Scores in time-series databases or cloud data lakes enabling detailed analytics and leaderboard generation.
Real-time Feed Synchronization: Employed WebSocket/Firebase listeners to keep homepage feed and rating status synchronized in real time.
Optimized Leaderboard with Caching: Built leaderboard queries with optimized indexing and Redis/Memcached caching for performant access at scale.
Scheduled & Incremental Leaderboard Updates: Combined batch jobs and real-time incremental updates to ensure leaderboard accuracy and freshness.
Chat Unlock Logic with Rating Threshold & Payment: Created backend logic to unlock chat features only after a qualifying rating (≥ 8) and confirmed in-app purchase, enforcing secure business rules.
Real-time Chat Infrastructure: Integrated WebSocket with Firebase Cloud Messaging to enable encrypted, real-time messaging strictly between matched users.
Encrypted Messaging & Privacy Controls: Enforced end-to-end encryption and strict privacy controls ensuring secure user communication.
Anti-Fraud Mechanisms & Rate Limiting: Implemented CAPTCHA, IP monitoring, heuristics, and rate limiting to detect and prevent bots, fake accounts, and fraudulent ratings.
Cross-Platform Push Notifications: Used Firebase Cloud Messaging and APNs to deliver timely push notifications about ratings, gifts, and chat unlocks.
Event-Driven Notification Triggers: Developed server-side event triggers to notify users in real-time about key actions (ratings, gifts, chat requests), with fallbacks for in-app alerts.
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Posted Aug 18, 2025

Developed a real-time beauty rating and social engagement app with secure communication.

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