Project PAWS is an innovative digital platform designed to streamline and enhance the pet adoption process while promoting animal welfare. It bridges the gap between potential pet adopters, animal shelters, and pet care services, creating a comprehensive ecosystem for pet adoption and care management.
🔗 Live Demo (for demonstration purposes only): [https://thepawss.netlify.app/]
The current pet adoption landscape faces several critical challenges:
- 🔍 Limited visibility of available pets across different locations
- ❌ Lack of transparent pet health and behavioral history
- 🏠 Overcrowded shelters with limited capacity
- ✅ Develop a comprehensive digital platform for pet adoption.
- 🐶 Provide detailed pet profiles with comprehensive information.
- 📉 Reduce administrative workload for shelter staff.
- 🔎 Study existing pet adoption platforms to identify best practices and gaps
- 📱 Implement responsive design for accessibility across devices
- 🧾 Design a complete adoption workflow, including:
- Pet listing and profile management
- Adoption application and approval flow
- Notifications and updates for adopters and shelters
- 🐕 Dynamic pet profiles with photos, breed, age, health, and behavior data
- 🏠 Shelter dashboard to manage pet listings and view applications
- 👨👩👧 User-friendly interface for adopters to browse, filter, and apply
- 📋 Application tracking and approval system
- 📲 Mobile-responsive design
- 🎯 Implementation of all core features
- 🕒 Reduced average time to successful adoption
- 👩⚕️ Improved communication between adopters and shelters
- 🤖 AI-powered pet-to-adopter matching algorithm
- 🕶️ Virtual Reality (VR) tours of animal shelters
- 🩺 Integration with veterinary care and health record systems
- Frontend: HTML, CSS, JavaScript (React / Vue.js)
- Backend: Python (Flask / Django)
- Database: SQLite / PostgreSQL
- Deployment: Netlify / Heroku / AWS
- Extras: Firebase (real-time notifications), Stripe (donations)
- Clone the repository:
git clone https://github.com/AryanSinghh07/Paws.git cd paws - Create and activate a Python virtual environment: Install dependencies
- Install npm: pip install npm



