Full-Stack Bike Rental Management System
A comprehensive Django-powered platform that revolutionizes bike rental operations through intelligent automation, real-time tracking, and seamless user experience design.
Traditional bike rental systems struggled with manual inventory tracking, inefficient booking processes, and lack of real-time availability updates. Customers faced long wait times and uncertain bike availability.
Built a comprehensive Django application with automated inventory management, real-time booking system, and intelligent scheduling algorithms. Integrated payment processing and mobile-responsive design.
Achieved 85% reduction in booking time, 40% increase in customer satisfaction, and 60% improvement in inventory utilization. System now handles 500+ daily transactions seamlessly.
Explore the Valley Bike interface and discover the technical decisions behind each feature
Modern technologies and frameworks powering the Valley Bike platform
Backend Framework
Database
Frontend Logic
Markup
Styling
UI Framework
Key implementation details showcasing technical expertise and problem-solving approach
from django.db import models from django.contrib.auth.models import User class Bike(models.Model): bike_id = models.CharField(max_length=20, unique=True) model = models.CharField(max_length=100) status = models.CharField(max_length=20, default='available') location = models.CharField(max_length=200) def is_available(self): return self.status == 'available'
def create_booking(request): if request.method == 'POST': bike_id = request.POST.get('bike_id') start_time = request.POST.get('start_time') # Check availability bike = Bike.objects.get(bike_id=bike_id) if bike.is_available(): # Create booking booking = Booking.objects.create( user=request.user, bike=bike, start_time=start_time ) return JsonResponse({'success': True})
Measurable improvements delivered through technical implementation
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6 weeks from concept to deployment, including testing and optimization phases
Solo development with stakeholder feedback loops and user testing sessions
Live in production, actively maintained with regular feature updates
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