A modern dating application built with Flutter and Supabase that connects people through shared interests and compatibility rather than just physical appearance.

• Smart Matching Algorithm: Connects users based on questionnaire responses and compatibility scores
• Swipe Interface: Intuitive card-swipe UI for browsing potential matches
• Real-time Chat: Instant messaging for matched users powered by Supabase real-time
• User Authentication: Secure sign-up and login with Supabase Auth
• Interest-based Profiles: Comprehensive questionnaire system with 23+ questions
• Compatibility Scoring: Intelligent algorithm calculates match percentage (0-100%)

• Frontend: Flutter (Dart)
• Backend: Supabase
  • PostgreSQL Database
  • Authentication
  • Real-time subscriptions
• State Management: Provider
• UI Components:
  • flutter_card_swiper
  • cached_network_image

• Flutter SDK 3.0.0+
• Dart SDK
• Supabase account

1. Clone the repository

git clone https://github.com/robertointech/interest-match-app.git
cd interest-match-app

2. Install dependencies

flutter pub get

3. Create a .env file in the root directory:

SUPABASE_URL=your_supabase_url
SUPABASE_ANON_KEY=your_supabase_anon_key

4. Set up the database:

   • Create a new project at supabase.com
   • Run supabase_schema.sql in your Supabase SQL Editor
   • Optionally run sample_questions.sql for sample questions

5. Run the app

flutter run -d chrome

1. Sign Up with email and password
2. Complete Questionnaire - Answer 23 questions about interests and preferences
3. Browse Matches - Swipe through compatible users
4. Connect - Chat with matched users in real-time

The app calculates compatibility based on:

• Multiple Choice Questions: Exact matches score higher
• Scale Questions: Closer values indicate better compatibility
• Text Questions: Common keywords suggest similarity
• Question Weights: Important questions (1-10) have more impact on final score

• users: User profiles and questionnaire responses (JSONB)
• questions: Available questions with types, options, and weights
• matches: Matched user pairs with compatibility scores
• messages: Chat messages between matched users

• Row Level Security (RLS) enabled on all tables
• Secure authentication with Supabase Auth
• Environment variables for sensitive credentials
• Input validation and sanitization

Coming soon

• Photo upload functionality
• Advanced filtering options (age, location, interests)
• Push notifications for new matches and messages
• Video chat integration
• User verification system
• Report and block features
• Profile recommendations based on ML

This project is open source and available under the MIT License.

Roberto - GitHub Profile

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