About Project
LeadTech, a leader in digital transformation, has introduced SpamSafe, an innovative mobile app that filters unwanted calls and SMS. This project is designed to empower users in the telecommunications sector by providing tools to block nuisance communications effectively.
Telecom Sector
BusinessNorth America
Location
Business Goal
We aimed to develop an intuitive and efficient mobile app, SpamSafe, to manage and block unwanted calls and SMS according to the brand’s requirements. By leveraging AI development solutions, we aimed to enhance user productivity and control over their communications.
Project Highlights
- Seamless Spam and Fraud Call Blocking
- AI-Driven Mobile App Development
- Real-Time Synchronization with Third-Party Services
- User-Friendly Interface
Key Challenges and Solutions
Database Lock Scenario
Streamlined Worker Thread for Database Operations
To address database lock scenarios, we created a worker thread to handle database-related tasks in a single queue, ensuring serialized operations and preventing interference from other tasks or threads.
Debugging Restrictions
Enabled Completion Handler for Debugging
We leveraged the completion handler provided when reloading the Call Directory extension, using the optional error parameter to identify and manage issues effectively. This completion
handler includes an optional error parameter, and by examining the error code, problems can be identified.
Indirect Communication
Design a Seamless In-App Framework
An In-App Framework was developed to mediate between the application and the Call Directory extension, ensuring seamless communication and efficient database management. This framework handles the application’s entire database, ensuring that the necessary data is
available for the extension without direct communication.
Large Volume of Spam
Prioritized Spam Blocking
We optimized the blocking of spam numbers based on local regions. This was achieved by utilizing the IPQS service, which provides a spam score for each number. Numbers with a spam score higher than 85 were prioritized and blocked first.
Our Approach
We focused on integrating advanced technologies and innovative methodologies to develop a robust and efficient spam-blocking mobile app.
Integration
Synchronization
Design
Database
Technology Stack
Front-end tech
Swift UI
Back end tech
Swift UI
Database
Swift UI
Cloud/AWS solution
Swift UI
Third-party tools
Swift UI
Project management tools
Swift UI
Framework
Swift UI
SDK
Swift UI
Libraries
Swift UI
Security tools
Swift UI
Key Results
Improved Database Operations
A worker thread for database operations prevented lock scenarios, enhancing the app's stability and reliability.Effective Debugging
Using the completion handler for debugging allowed us to identify and manage issues efficiently.Enhanced User Experience
We facilitated communication between the application and the Call Directory extension, ensuring blocking.Enhanced User Experience
The blocking of spammers improved the efficiency of the blocking process, enhancing user experience.
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