August 2025

LoveMatch - AI-Powered Dating Application

A modern, full-stack dating application that leverages artificial intelligence and facial recognition to help users find meaningful connections based on compatibility and shared interests.

Features

Core Functionality

Smart Matching System: Uses AI-powered similarity analysis to recommend compatible matches.
Facial Recognition: Advanced face detection and analysis for profile verification.
Real-time Chat: Instant messaging with matched users.
AI Assistant: Chat with an intelligent AI assistant for relationship advice and guidance.

Advanced Features

Similarity Analysis: Machine learning-based personality and interest matching.
Face Verification: DeepFace and Face++ integration for enhanced security.
Admin Dashboard: Comprehensive admin panel for user management and system monitoring.

Technology Stack

Frontend

React 18.3 & TypeScript
Vite & Tailwind CSS
React Router 7.7
Socket.IO Client
Framer Motion

Backend & AI

Python 3.x & Flask
NumPy & Scikit-learn
DeepFace
Google Generative AI
Face++ API

Database & Services

Supabase (PostgreSQL)
Supabase Auth & Storage
Gunicorn/Uvicorn

Setup Instructions

1. Prerequisites

Node.js 18.x, Python 3.8+

2. Frontend Setup

# Navigate to project root
npm install

# Create environment file
cp .env.example .env

# Start development server
npm run dev

3. Backend Setup

cd backend

# Create and activate virtual environment
python -m venv venv
# On Windows: venv\Scripts\activate
# On macOS/Linux: source venv/bin/activate

# Install dependencies
pip install -r requirements.txt

# Run the server
python app.py

Project Structure

dating-app/
├── src/
│   ├── components/
│   │   ├── LoginPage.tsx
│   │   ├── HomePage.tsx
│   │   ├── ProfilePage.tsx
│   │   ├── ChatPage.tsx
│   │   ├── SimilarityPage.tsx
│   │   ├── CommunityPage.tsx
│   │   ├── AdminDashboard.tsx
│   │   ├── AIChat.tsx
│   │   └── design/
│   ├── contexts/
│   │   └── AuthContext.tsx
│   ├── App.tsx
│   └── main.tsx
├── backend/
│   ├── app.py
│   ├── requirements.txt
│   └── [API endpoints]
├── package.json
└── README.md