Featured Project

Hammr Sports Physiotherapy

Online physiotherapy clinic site with booking, service pages, and performance-focused Next.js build.

Hammr Sports Physiotherapy

Project Info

Categories

Professional
Website

Technologies

Next.js
TypeScript
Tailwind CSS
React
Framer Motion
Vercel
ESLint
Prettier

About This Project

Hammr Sports Physiotherapy is a comprehensive online physiotherapy platform founded by Namita Mehta, an Australian Titled Sports and Musculoskeletal Physiotherapist with over 16 years of experience. The website serves as a digital gateway for global patients seeking expert physiotherapy care from the comfort of their homes. Built with Next.js and modern web technologies, the platform showcases Namita's extensive credentials including her Double Master's from the University of South Australia-Adelaide and her work with elite athletes including cricketer Yuvraj Singh, actor Dev Patel, and various Australian national teams. The site features detailed service pages for sports injury rehabilitation and musculoskeletal physiotherapy, comprehensive booking functionality, and showcases her impressive portfolio of work with para-athletes and international sports teams. The platform emphasizes the benefits of virtual care including flexible scheduling, no waiting times, and consistent support between sessions.

Key Features

  • Global online physiotherapy consultations via Zoom/Facetime
  • Comprehensive injury assessment and diagnosis services
  • Sports injury rehabilitation programs
  • Musculoskeletal physiotherapy treatments
  • Flexible scheduling and booking system
  • Professional credential showcase and portfolio
  • Contact forms and WhatsApp integration
  • Service pricing and package information

Technical Highlights

Next.js 14 with App Router for optimal performance
TypeScript for type safety and maintainability
Tailwind CSS for responsive design
Image optimization with Next.js Image component
SEO optimization for healthcare industry
Mobile-first responsive design
Fast loading times and performance optimization

Interested in this project?

Explore the live demo to see it in action, or dive into the source code to understand the implementation details.