Transforming Water Filtration Management: From Outdated App to Smart IoT Solution

Binariks was selected after a comprehensive vendor evaluation that assessed technical expertise, reviews, and communication capabilities – ultimately chosen for proven React Native experience and IoT integration capabilities.

Building the Foundation

The engagement focused on four critical modules: water consumption statistics, filter monitoring, remote device control via Bluetooth, and offline functionality.

We deployed a strategic team: 2 React Native developers with IoT experience, 1 AWS backend developer, 1 QA, and 1 Project Manager to coordinate with the client's product owner and stakeholders.

Framework for Success

The project ran on Scrum methodology with 2-week sprints, balancing flexibility with predictable delivery. Regular refinement sessions, planning, and retrospectives kept teams aligned on priorities and challenges.

A critical early discovery shaped our strategy: existing Bluetooth Low Energy libraries couldn't maintain stable connections with the filtration devices.

Rather than compromise, we developed a custom native BLE module – adding complexity but ensuring the reliability the product demanded.

Technology choices aligned with the client's existing expertise. Python was selected because their internal team had strong Python knowledge, while Microsoft App Center and GitHub Actions were chosen based on their familiarity with these CI/CD tools, ensuring smooth handoffs and future maintainability.

Architecture & Infrastructure

The solution was built on serverless AWS architecture for scalability and operational efficiency:

• AWS Lambda functions handle backend operations, from data processing to authentication
• Amazon DynamoDB stores user profiles, device data, and consumption statistics
• AWS Cognito manages user authentication and authorization
• Firebase powers real-time notifications and analytics
• Jira facilitated project management across distributed teams

Mobile Application

The React Native application was designed for performance and maintainability.

State management uses Redux with TypeScript for type-safe data flow—critical for managing complex IoT device states and offline synchronization.

Custom BLE module was developed to overcome stability issues in existing libraries, ensuring:

• Reliable device discovery and connection
• Stable data streaming from sensors
• Graceful handling of interruptions
• Background connection management

Offline-first architecture enables full functionality without internet:

• Local data caching for statistics
• Queue-based sync when connection restores
• Direct Bluetooth device control
• Cached manuals and product information

Core Features

• Water consumption statistics: Built with d3.js, displays real-time and historical usage patterns with visual indicators for unusual activity that might signal leaks or filter issues.
• Filter monitoring: Tracks filter lifespan based on actual water volume processed, calculates remaining capacity, and sends proactive replacement notifications with direct links to the online store.
• Remote Control via BLE: Direct Bluetooth communication enables users to control filtration settings, run diagnostics, and receive immediate status updates—no cloud required.
• Offline mode: Device control, consumption viewing, and filter monitoring work entirely through local Bluetooth and cached data.

Quality Assurance & Deployment

CI/CD pipeline using Microsoft App Center and GitHub Actions leveraged the client's existing infrastructure knowledge. Automated testing with Jest ensures code quality throughout development.