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Matrimony Matchmaking Website & App

Matrimony Matchmaking Website & App

Pending
💰 INR 150000–250000 👤 Unknown 🕒 19d ago status: new
PHP Mobile App Development iPhone Android Node.js PostgreSQL Web Development MongoDB Database Design API Development
I need a complete matrimony platform built from scratch, delivered as both a responsive website and companion mobile app (iOS and Android). The core purpose is straightforward: help users find potential life partners through matchmaking. Matchmaking approach Instead of a black-box algorithm, the system should let members perform thorough manual searches. After registering and creating a profile, a user can open an advanced search screen, set filters, and instantly browse matching profiles. Required search filters • Age range • Location • Interests • Horoscope Key flows 1. Profile creation with photo upload, basic details, partner preferences, and privacy controls. 2. Filter-based search that remembers the last criteria used. 3. Secure in-app actions: send interest, shortlist, block, or report a profile. 4. Real-time notifications (web and push) for new interests or messages. 5. Admin dashboard to review users, manage reports, and edit site-wide settings. 6. Map view to view the profile Technical notes Please use a mainstream tech stack suited for high-traffic social platforms (for example, React or Vue + Node/Express + PostgreSQL or MongoDB). The mobile app can share the same API through React Native or Flutter—whichever you are most comfortable maintaining. The UI should feel consistent across web and mobile, and the database schema must be ready for future expansion (adding automated matching later). Acceptance criteria • Fully deployable website (HTTPS, custom domain). • iOS & Android builds ready for App Store/Play submission. • Tested search returning correct results for each listed filter. • Source code, build scripts, and basic documentation handed over on completion. With these pieces in place, I will be able to launch a user-friendly matrimony service focused on thoughtful, filter-driven matchmaking.
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