This project introduces Sambhanda – Connecting Nepali Hearts, a modern Matrimonial & Dating mobile application designed to match Nepali users based on personal preferences, interests, lifestyle, and compatibility indicators. Developed using Flutter for mobile and Node.js with MongoDB for backend and data storage, the system delivers a smooth, secure, and personalized matchmaking experience.
The platform uses a preference-based matching algorithm that evaluates user profile attributes such as age, caste/community preference, location, education, hobbies, personality traits, and relationship intentions. The goal is to help individuals find meaningful connections while reflecting Nepali culture, values, and matchmaking traditions.
Sambhanda is a complete mobile application where users can create detailed profiles, set their partner preferences, and browse suggested matches based on compatibility scores. The system allows chat requests, match recommendations, and privacy-controlled sharing of personal details.
The backend uses MongoDB’s flexible NoSQL structure to store diverse user attributes, compatibility data, and dynamic preference filters, enabling fast and scalable matchmaking logic.
Provide a digital platform for Nepali matrimonial & dating matchmaking
Match users based on detailed preference and compatibility criteria
Ensure privacy, security, and cultural relevance
Offer a smooth mobile user experience using Flutter
Use Node.js + MongoDB to build scalable, real-time features
User Registration with Profile Details
Match Suggestion Algorithm Based on User Preferences
Compatibility Score Calculation
Swipe / Like / Connect System
Chat Request & Secure Messaging
Advanced Filters (age, location, education, interests, etc.)
Profile Verification for Authenticity
Admin Panel for User Moderation
Flutter Mobile App + Node.js API + MongoDB NoSQL Database
The system provides a culturally tailored matchmaking experience for Nepali users by combining preference-based matching with modern mobile application technologies. It demonstrates strong skills in mobile development, real-time backend architecture, and intelligent recommendation logic—making it an impactful and high-value BCA final-year project.
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