Matrimony Web Application — AI-Powered Matchmaking Platform

A full-featured, privacy-first matrimony platform that allows users to create rich personal profiles, search for potential matches, send connection requests, and receive AI-based match recommendations. Designed for modern relationship-seeking users with an intuitive UI and powerful backend intelligence.

User registration and authentication is handled via email/password login and JWT-based authentication. The platform supports profile creation with detailed personal information, preferences, and interests.

Users can search for matches based on various criteria such as age, location, and interests. The AI match-making feature uses advanced algorithms to suggest potential matches based on user profiles and preferences.

The platform was built to deliver a modern, privacy-focused matrimony experience with intelligent AI matchmaking. Using Next.js and Jotai, we created a fast, responsive frontend that handles dynamic user interactions and state management seamlessly. The backend leverages Node.js, MongoDB, and Mongoose to securely store detailed user profiles and manage authentication via JWT.

A core challenge was implementing efficient AI-powered matchmaking. We integrated n8n to orchestrate workflows that generate embeddings with Ollama's models and perform vector similarity searches. This automation pipeline keeps the AI components modular and maintainable, providing users with personalized and meaningful match recommendations./nThe application is deployed on Vercel for high performance and scalability.This project successfully combines full-stack development with AI-driven insights to enhance the matchmaking experience.