Travel Data Collection App (NATPAC) A mobile-first travel data collection platform built with Streamlit (Python) frontend and Django REST Framework backend for the Smart India Hackathon. This solution leverages Streamlit’s lightweight web framework to create a responsive, install-free application that runs seamlessly on mobile devices, ensuring easy deployment, fast updates, and accessibility. 📂 Project Structure

SIH_Paradigm/ ├── backend/ # Django REST Framework backend │ ├── natpac/ # Main Django project │ ├── trips/ # Trip data app │ ├── users/ # User management app │ └── requirements.txt # Python dependencies ├── frontend/ # Streamlit app (mobile-first) │ ├── pages/ # Multi-page navigation (Trips, Analytics, Profile) │ ├── components/ # Custom reusable UI components │ ├── app.py # Entry point for Streamlit app │ └── requirements.txt # Streamlit dependencies └── README.md # This file ✨ Features Frontend (Streamlit – Mobile-First)

• 📱 Mobile-responsive design (Streamlit layout + CSS tweaks)
• 📝 Onboarding & consent flow (forms, checkboxes)
• 📍 Trip data logging with GPS capture (via browser geolocation API)
• 👨‍👩‍👦 Add accompanying travellers dynamically
• 🔔 Browser-based push notifications for reminders & nudges
• 📶 Offline-first experience with caching & background sync
• 🎨 Modern UI using Streamlit themes & reusable components Backend (Django REST Framework)
• 🔑 JWT authentication for secure login
• 🔄 REST APIs for trip data, users, and analytics
• 📊 Admin dashboard for researchers (Django Admin)
• 📂 Export trip datasets to CSV/Excel
• 🕵️ User anonymization for privacy
• 🔒 Secure HTTPS communication 🚀 Quick Start Backend Setup

cd backend python -m venv venv source venv/bin/activate # Windows: venv\Scripts\activate pip install -r requirements.txt python manage.py migrate python manage.py createsuperuser python manage.py runserver Frontend Setup (Streamlit)

cd frontend python -m venv venv source venv/bin/activate # Windows: venv\Scripts\activate pip install -r requirements.txt streamlit run app.py 🛠 Technology Stack

• Frontend: Streamlit (Python) – responsive, mobile-first PWA-like app
• Backend: Django REST Framework (Python)
• Database: SQLite (local + central)
• Authentication: JWT tokens
• Location Services: Browser GPS APIs
• Notifications: Browser push notifications
• Sync: Background REST API calls 🔐 Privacy & Security
• ✅ User data anonymization with hashed IDs
• ✅ JWT-based authentication
• ✅ HTTPS for all communications
• ✅ Local caching + secure sync with backend
• ✅ GDPR-compliant consent management 📊 System Architecture

+-------------------+ +---------------------+ +-----------------+ | User Device | <----> | Streamlit Frontend | <----> | Django Backend | | (Mobile Browser) | | (Python Web App) | | (REST APIs) | +-------------------+ +---------------------+ +-----------------+ ↑ │ │ ▼ └────────────────────────── SQLite/Postgres ────────────────► Database 👨‍💻 Development Team Built for Smart India Hackathon 2024 – NATPAC Team Empowering travel data research with a mobile-first, web-based solution.