A delightful dating app for dogs! Connect your furry friends with their perfect match.
PAWPAW is a unique mobile application that helps dog owners find playmates and potential matches for their beloved pets. Whether you're looking for playdates, breeding partners, or just making new furry friends, PAWPAW makes the connection process fun and easy!
-
Pet Profiles
- Create adorable profiles for your dogs
- Upload multiple photos
- Share your dog's personality traits and preferences
-
Secure Authentication
- Safe and secure login/signup process
- Protect your and your pet's information
-
Real-time Chat
- Connect with other dog owners
- Plan meetups and playdates
- Share photos and updates
-
Smart Matching
- Find compatible matches based on breed, age, and location
- Filter by preferences and requirements
- See nearby dogs and their owners
- Node.js (version 14 or higher)
- npm or yarn
- Expo CLI
- iOS Simulator (for Mac users) or Android Studio (for Android development)
- Clone the repository:
git clone https://github.com/youssefjaziri456/ISS-2024.git- Install dependencies:
cd ISS-2024
npm install
# or
yarn install- Start the development server:
npx expo start- Run on your desired platform:
- Press
ifor iOS simulator - Press
afor Android emulator - Scan the QR code with Expo Go on your physical device
├── App/ # App configuration and navigation
├── assets/ # Images and static assets
├── components/ # Reusable UI components
├── constants/ # Color schemes and constants
└── Screens/ # Application screens
├── Chat/ # Messaging functionality
├── Footer-Header/ # Layout components
├── HomeScreen/ # Main matching screen
├── Navigation/ # Navigation components
├── ProfileScreen/ # Pet profiles
└── Settings/ # App settings
- React Native - Mobile application framework
- Expo - Development platform
- React Navigation - Navigation library
Because every dog deserves to find their perfect playmate! Our app makes it easy and fun for dogs and their owners to build meaningful connections in their local community.
We welcome contributions! See the CONTRIBUTING file for details.
This project is licensed under the MIT License - see the LICENSE file for details.