Upendo is an AI-powered mobile dating and social connection platform developed to support authentic interactions and safer user experiences. The project involved designing and building a consumer-facing mobile app along with a web-based admin system to manage identity verification, moderation workflows, communication, and monetization. The focus was on reliability, security, and long-term scalability rather than feature volume.
The client wanted to create a modern dating platform that goes beyond basic swiping, prioritizes profile authenticity, user safety, and meaningful matches. Many existing dating apps suffer from fake profiles, weak moderation, limited personalization, and unsafe interactions. In addition, the client required a centralized system to manage subscriptions, reports, and community standards.
Our role was to translate these business and operational gaps into a structured product architecture that balanced user privacy, platform safety, and revenue growth.
We defined clear technical and product objectives before development began. These objectives guided all architectural and UX decisions:
We approached the project as a trust-first system rather than a swipe-based interface.

Mandatory photo and liveness verification improves trust.

Encrypted chat protects private conversations.

Flexible subscriptions and paid add-ons support revenue growth.

AI-based compatibility scoring improves match quality.

In-app gifting enables emotional engagement and monetization.

Strong admin moderation tools help maintain community standards.

Mandatory photo and liveness verification improves trust.

AI-based compatibility scoring improves match quality.

Encrypted chat protects private conversations.

In-app gifting enables emotional engagement and monetization.

Flexible subscriptions and paid add-ons support revenue growth.

Strong admin moderation tools help maintain community standards.
Upendo supports multi-option sign-up with OTP validation and guided onboarding to improve account authenticity and feature understanding.
We enabled detailed profile configuration supported by completion indicators to improve match visibility and data quality.
Platform uses user preferences, location, interests, and behavior to suggest potential matches. Compatibility indexes and optional Elo scoring improve match accuracy over time.
Implemented video-based verification with automated checks and a verified badge to confirm identity before enabling full interaction.
Users can like or skip profiles through swipe gestures. A mutual like creates a match and unlocks chat. Premium users can send messages without matching, revisit skipped profiles, and boost visibility.
Matched users can chat using end-to-end encrypted messaging. Additional options include emojis, images, voice notes, and ice-breakers to improve conversation flow.
The app supports multiple subscription tiers with benefits such as unlimited likes, advanced filters, and profile boosts. Users can manage renewals, pauses, and billing through app store payments. One-time premium features are also available for purchase.
Users can browse a digital gift shop, add items to a cart or wishlist, and send gifts directly to matches. Payments are handled securely within the app, with delivery managed by the platform.
Users can block or report profiles and chats. Reported conversations are reviewed using automated urgency scoring, with high-risk profiles suspended for admin review. Privacy settings allow users to control visibility and data sharing.
Admins can manage user accounts, review and moderate profiles, handle reports, and send notifications. The panel supports subscription and revenue management, gift and order control, and analytics to track user activity, onboarding completion, and engagement trends.
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