Wavework Project: Connecting Users with Local Service Providers

Sep 13, 2023

Project Objective

The Wavework Project aims to simplify access to local services by connecting users with trusted providers nearby. Designed as an efficient, user-centered platform, Wavework allows users to find, compare, and hire service providers for a wide range of needs—such as electrical repairs, carpentry, plumbing, and more.

Development Overview

For Wavework, we developed a complete minimum viable product (MVP) that includes:

  1. Service Provider App: Allows providers to see nearby job postings, submit quotes, and get hired based on their ratings and price.

  2. User App: Enables users to post job requests, receive quotes from nearby providers, and select based on reviews, ratings, and budget.

Technical Highlights

  1. Cross-Platform Mobile Development with Flutter

    • We chose Flutter to build Wavework’s mobile applications, enabling seamless deployment across both Android and iOS.

    • The single codebase approach reduced development time while maintaining a native experience for both platforms.

    • Flutter’s widgets provided the flexibility to create a responsive, intuitive UI, ensuring an easy-to-navigate flow for both service providers and users.

  2. High-Performance Backend with Golang

    • The backend for Wavework was built in Golang, selected for its performance in parallel processing and scalability.

    • Golang’s efficiency in handling concurrent tasks allowed for faster response times, even under heavy loads, ensuring smooth operation during peak usage times.

    • With Go’s robust standard library, we implemented RESTful APIs that facilitate secure, reliable data exchanges between the app’s frontend and backend.

  3. Cloud Deployment on AWS with Kubernetes

    • We deployed Wavework on AWS and containerized the entire infrastructure with Kubernetes to ensure scalability and resilience.

    • Kubernetes handles automated scaling, self-healing, and load balancing, enabling Wavework to handle fluctuations in demand without performance issues or downtime.

    • Using AWS RDS for data storage provided a scalable, managed solution with automated backups, while AWS S3 was used for secure, scalable storage of user and provider images.

  4. Database & Data Management

    • We opted for MongoDB , ensuring data consistency and scalability, with optimized indexing for fast lookups and efficient query handling.

    • With a schema optimized for multi-user data interactions, we ensured that both user and provider data is accessible without compromising on speed or security.

  5. Serverless Functions for Notifications and Scheduling

    • To handle notifications and scheduling efficiently, we integrated AWS Lambda for serverless processing.

    • Serverless functions allowed for automated push notifications to users about quotes, provider availability, and job statuses, enhancing real-time user experience.

  6. Security & Compliance

    • Adhering to security best practices, we implemented OAuth 2.0 for authentication, securing both user and provider accounts.

    • Data encryption at rest and in transit ensured compliance with data protection standards, with access controls in place to protect sensitive user information.

Key Features of Wavework

  1. Job Posting and Bidding

    • Users can post job requirements with location and service type, and service providers within proximity receive notifications to submit quotes.

  2. Rating and Reviews

    • User-based rating and review system to maintain quality and help users choose the best providers.

  3. Location-Based Matching

    • Location-based job listings ensure providers and users in close proximity are matched efficiently.

  4. Real-Time Notifications

    • Push notifications inform users and providers instantly about new job requests, quotes, and updates.

  5. Scalable Infrastructure

    • Kubernetes-managed AWS deployment allows Wavework to scale dynamically, with no service interruptions, even during high-demand periods.

Project Execution Process

  1. Requirements Analysis: Extensive discussions with Wavework stakeholders to understand target users, platform goals, and feature requirements.

  2. MVP Development: Focused on delivering core functionalities first to validate the concept with real users.

  3. Provider Acquisition: Helped onboard 500+ providers, creating a robust initial network of skilled professionals on the platform.

  4. Testing & Deployment: Rigorous testing on real devices to ensure cross-platform functionality, followed by containerized deployment to AWS.

  5. Ongoing Optimization: Monitoring and optimizing backend performance, app functionality, and security protocols post-launch.

Results & Impact

  • Reduced Development Costs: Using Flutter for cross-platform development saved both time and resources.

  • Increased Provider Network: The platform successfully acquired over 500 service providers, creating a reliable network for users.

  • High Uptime & Reliability: AWS and Kubernetes ensure stable operations, handling user spikes without downtime.

  • User Satisfaction: Positive feedback from early users highlighted ease of use, accessibility, and reliability of service.

Key Takeaways

  • Wavework showcases our expertise in end-to-end development, from mobile apps to backend infrastructure.

  • Efficient use of Kubernetes and Golang shows our focus on scalable, performance-oriented architecture.

  • Our approach to user-centered design and optimized workflows ensured a seamless experience for users and providers alike.