Shershah Water Supplier faces challenges in their water plant management. With over 30 water lines and 500+ customers, maintaining accurate readings is vital. The primary issue is "water theft," arising from unauthorized tampering, employee errors, and meter malfunctions. Current manual data entry is cumbersome.
Our goal is to develop an app for Shershah Water Supplier, enabling accurate readings, real-time detection of water theft, and improved data management with secure server transmission.
We propose a real-time image-based AI application, utilizing Flutter for mobile development and Sqflite for offline data storage. Laravel API integration addresses water theft.
- Image Recognition: Ensures accurate meter readings.
- Offline Data Storage: Enables work without an internet connection.
- Real-Time Updates: Guarantees data accuracy and prevents theft.
- User-Friendly Interface: Ensures ease of use.
- Data Integrity: Prevents unauthorized tampering.
- Error Handling: Addresses issues promptly.
- Outsourced API Development: Cost-effective Laravel API implementation.
The project is expected to be completed in one month, emphasizing efficiency and rapid deployment.
Our UX approach includes:
- Usability Testing: Evaluating ease of use and identifying pain points.
- User Interviews: Understanding user needs, pain points, and preferences.
- A/B Testing: Comparing design variations for optimization.
- Surveys and Feedback Analysis: Gathering and incorporating user feedback.
User research reveals key needs and behaviors:
- Efficient Data Entry: Faster, more accurate data recording.
- Real-Time Monitoring: Immediate detection of water theft.
- Data Management: Efficient data storage and retrieval.
- Inaccurate Data Entry: Manual entry leads to errors.
- Delayed Theft Detection: Lack of real-time updates hinders theft prevention.
- Data Management Challenges: Diaries are time-consuming.
- Data Entry: Users struggle with manual data entry, leading to inaccuracies.
- Meter Reading Verification: Lack of real-time updates hinders their ability to verify readings.
- Data Management: Retrieving and managing data from diaries is time-consuming and error-prone.
The application offers an intuitive layout, with features like image recognition, real-time updates, and data storage. The user flow ensures data integrity and efficient management.
Post-implementation, we anticipate the following changes:
- Accurate Data Entry: Employees record precise readings with image recognition.
- Real-Time Detection: Instant theft detection and discrepancy resolution.
- Efficient Data Management: Quick and error-free data management.
This project provided valuable insights:
- AI's Power: Image recognition significantly enhances accuracy.
- Real-Time Monitoring: Instant issue detection is game-changing.
- User Feedback: User input drives project success.
- Data Integrity: Ensuring data accuracy and security is paramount.
- Outsourcing Efficiency: Expertise for specific tasks can be cost-effective.