AI Spam Call Blocker App

@onkarkulkarni8

Hello, I checked your "AI Spam Call Blocker App" project and it looks like the focus is on delivering a clean, responsive website that works well across all devices. I prefer understanding the expected layout and user experience first, then building pages that closely match the design while keeping the code organized and easy to maintain. Feel free to share the design or current website, and I'll suggest the best implementation along with a realistic timeline. Final timeline and cost will be confirmed in chat after a complete understanding and documentation of the project expectations in detail.

@point2solutions

<<<< AI-Powered Spam Call Blocking Mobile App >>>> I am available to develop a lightweight, AI powered call screening app for iOS and Android that intelligently detects and blocks spam calls while maintaining high performance, privacy, and compliance with App Store and Google Play guidelines. Approach: → Build a cross-platform app using Flutter or React Native with native call-screening APIs where required. → Integrate an AI model (TensorFlow Lite/Core ML or cloud-based) for real-time spam detection. → Implement automatic call blocking, activity logs, confidence scores, and user feedback to improve accuracy. → Optimize for low battery usage, minimal permissions, fast performance, and store compliance. → Deliver tested builds, source code, documentation, and deployment support for TestFlight and Google Play. Flow: Requirement Analysis → UI/UX Development → AI Model Integration → Call Screening Implementation → Testing & Optimization → Store Deployment → Handover Let's connect Thanks.

@mrresearcher99

Hello, With 10 years of experience in mobile application development and AI-powered solutions, I can build a lightweight, secure call-screening app for iOS and Android that aligns with each platform’s supported call identification capabilities. I recommend React Native for a unified codebase, combined with AI integration using an optimized on-device or cloud-based model to achieve fast detection while maintaining privacy and performance. My approach is to implement a clean, responsive UI, intelligent spam detection, automatic call filtering where platform APIs permit, confidence-based activity logs, and continuous model improvement through user feedback. I focus on secure coding practices, performance optimization, maintainable architecture, and seamless AI integration while ensuring compliance with App Store and Google Play guidelines and minimizing battery consumption. I'd be happy to discuss your AI strategy and the platform-specific implementation approach to achieve the best possible results. Best regards

@kabirchy

Hi there, I understand you're looking for a lightweight, cross-platform mobile app that uses AI to dynamically detect and block spam calls on both iOS and Android. I’ll build this using Flutter for maximum efficiency and native-like performance across platforms, with Kotlin for Android and Swift for iOS integration where needed. The AI engine will be trained on call patterns—such as call frequency, duration, caller ID behavior, and metadata—using lightweight on-device machine learning models (like TensorFlow Lite or Firebase ML). This ensures privacy and real-time response without relying on static blacklists. The app will feature a clean, intuitive UI with real-time blocking notifications, user feedback loops to improve the model, and automatic updates via cloud-based pattern analysis. I’ll deliver a fully functional MVP in 12 days, including testing on real devices, secure data handling, and documentation for future scaling. The solution is designed to be modular, so adding new features like voice phishing detection or carrier-level integration can be done later. Best Regards, Khorshed Alam, RS Software

@NEHABHAT92

With 9+ years of hands-on experience as a web and mobile app developer, predominantly focusing on Android, Flutter, and React Native, my technical proficiency aligns perfectly with your AI Spam Call Blocker App requirements. I have developed E-commerce platforms and CMS based websites, indicative of my exposure to managing data and ensuring smooth functionality across multiple platforms. Adhering to the dual-platform delivery approach you seek, I'll leverage Flutter's single code-base capability to create an app that seamlessly compiles on the latest iOS and Android versions. My prior experience with TensorFlow Lite and Core ML makes me well-versed at incorporating on-device AI models which will optimize both speed and privacy for your users. In light of your vision for simplicity and user trust, I will ensure minimal permissions for phone access without compromising quality or review approvals. In addition to my seasoned skills in development, I bring along a penchant for detail-oriented work - crucial when it comes to blocking known spam numbers accurately (acceptance criteria 1) whilst maintaining low false-positive rates (acceptance criteria 2). Though I haven't specifically developed call-screening or on-device ML functionalities before, my comprehensive understanding of this domain will enable me to integrate apt tools with appropriate trade-offs between accuracy and battery consumption.

@Kishoreindia

Hi, I'm a Flutter/Dart developer with hands-on experience building and shipping production apps across fintech, healthcare, education, and travel — currently live on both Play Store and App Store. A few examples from my portfolio: • Finnov & MinePay — fintech/payment apps with secure transactions and clean UX • PrayagEdu — school management app (Android + iOS) handling student/parent/teacher workflows • SNAH Caregiver & SNAH Users — dual-app healthcare ecosystem connecting caregivers with patients • MedNob AI & Jepluse — medical/health apps with AI-assisted features • Thatzal & Thatzal Trip — travel and trip-planning apps with booking flows • GetOurStay — property/stay booking platform • Lisners & Lisners Therapist — dual-sided therapy/audio platform for clients and therapists Across these projects, I've handled end-to-end development: clean architecture, state management (Bloc/Provider/GetX/RiverPod), REST/Firebase integration, push notifications, payment gateways, and smooth deployment to both Play Store and App Store. I focus on writing maintainable, scalable code and communicating clearly throughout — regular updates, honest timelines, and no surprises. I'd love to understand your project requirements in more detail and share how I can bring similar quality and reliability to your app. Happy to start with a quick call or share more code samples/case studies. Looking forward to working together. Best regards, Kishore Patidar

@ashinnd84

Hello Sir/Madam, we are a team of senior AI/ML, Automation Full Stack Web and Mobile App Developers. Please, send me a message to discuss the work and finish in no time. Thanks Ashish Kumar.

@Baghali1

Hello, I can develop your AI Spam Call Blocker using Flutter, Firebase, Node.js, and AI technologies such as TensorFlow Lite or a secure cloud-based model. On Android, I will implement the Call Screening API to identify and block spam calls according to the platform's capabilities. On iOS, I will use CallKit/Call Directory Extension for spam identification and caller labeling, while following Apple's platform limitations, since iOS does not allow third-party apps to fully block all incoming calls automatically. I will deliver a clean UI, activity logs, AI integration, testing, and App Store & Google Play deployment support. I'm ready to discuss your requirements and start immediately.

@GobindSawarn

From your project description, it seems like my expertise in Flutter and mobile app development will be a perfect fit. I have hands-on experience building sleek and powerful apps across varying platforms, ensuring a consistent user experience regardless of the device. Moreover, my knowledge of working with call-screening APIs and AI-driven tools gives me an edge in implementing the features you are looking for. I've maintained a delicate balance between accuracy and battery impact while delivering feature-rich, AI-driven apps before. Equally important is my commitment to privacy and user trust. I understand the significance of utilizing only the necessary permissions to ensure a minimal disturbance in user experience without making unnecessary demands, thus avoiding any distrust during review. Rest assured, your project will be developed in compliance with App Store and Google Play review guidelines while maintaining integrity and maximizing spam call blocking efficacy.

@prachia77

Hello I have carefully read your project requirements and understand what you need. Based on my experience, I am confident that I can deliver the solution you're looking for. Please send me a message so we can discuss your project requirements in detail. I have more than 7 years of experience in mobile app design and development. I have expertise in native Android (Java), iOS (Swift), Flutter (Dart), Node.js, PHP, and its frameworks, including Laravel and CodeIgniter (CI). I have successfully developed high-quality, scalable, and user-friendly mobile applications for various industries. Let's connect over chat to discuss your project requirements and the next steps. Best Regards Prachi Webix Infotech

@rajeshrolen

Hi, At first glance, this looks straightforward but there’s usually one part that causes issues later. I’ve handled similar work before and can help you avoid that. Regards, Rajesh

@priyanshuk879

Hi, I have gone through your requirements for the AI-powered spam call protection app. I can help build a lightweight iOS and Android app with AI-based caller detection and blocking features. I understand the need for real-time spam identification, low latency, and keeping user privacy protected. I can work with Flutter/React Native or a suitable native approach and integrate AI models using TensorFlow Lite or Core ML based on performance needs. I will focus on the key features like automatic call blocking, activity logs with confidence scores, and smooth app performance across both platforms. I can also help with testing, optimization, and preparing the app for App Store and Google Play submission. Ready to start Immediately.

@shayankhan333

iOS CallKit can't run ML at block time; it loads a static number list at launch, so "real-time" AI on iOS means server-side scoring that syncs the list periodically, not per-call on-device inference the way Android's screening API allows. I'll build this in React Native, use TF Lite for Android's live call screening, and schedule server-synced list updates for iOS, with confidence-scored logs and "Not spam" feedback to keep the model improving. 1) Do you have a labelled spam dataset ready, or should I seed the model from a third-party feed like Hiya's API? Cheers Shayan

@yihangz7

Yes - I can build your lightweight AI-powered call screening app for iOS and Android with dual-platform delivery and on-device ML! With 11 years of mobile development (Flutter/React Native or native Kotlin+Swift), I'll create an app that uses on-device AI (TensorFlow Lite/Core ML) to identify spam in real-time, automatically block calls, log activity with confidence scores, and include "Not spam" feedback. I'll minimize permissions, ensure App Store/Play Store compliance, integrate call-screening APIs, and achieve 95% blocking with <1% false positives. Available now - ready to discuss your wireframes and start building!

@sanketpatil51515

Hi, I'm Sanket from Pune, currently working in Bangalore as a Full-Stack & Mobile App Developer with 3+ years of experience building AI-powered mobile applications, Flutter apps, and secure backend systems. I can build a lightweight, production-ready spam call detection app for both Android and iOS with a strong focus on performance and privacy. What I'll deliver: ✔ Cross-platform Flutter app with modern UI ✔ AI-powered spam call detection using TensorFlow Lite/Core ML ✔ Automatic call blocking using platform-supported APIs ✔ Activity log with confidence score & feedback learning ✔ Secure cloud/on-device inference with minimal permissions ✔ TestFlight, Play Store build & deployment support Relevant Apps: • Collabuzz (Android & iOS) • MakeMyPropertyz App • Arthomed Clinic • Ojas App I'll design the solution to maximize detection accuracy while minimizing battery usage and complying with both Google Play and App Store guidelines. The architecture will also support future model updates and improved spam detection over time. Could you share whether you already have a spam-call dataset/model, or should I develop and train the AI detection pipeline from scratch?

@Royalitservices

Hi, Thanks for sharing your project. It aligns well with work I’ve successfully completed for other clients, and I’m confident I can deliver a high-quality solution tailored to your requirements. Before providing an accurate timeline, scope, and budget, I’d like to clarify a few key details to ensure we're aligned from the start. Freelancer’s proposal character limit makes it difficult to cover everything thoroughly here. If you're available, let's connect via chat. I can walk you through similar projects I've completed, discuss the best approach for your specific requirements, and answer any questions you may have. Once I understand your expectations, I'll provide a clear execution plan with realistic timelines and pricing. I’m ready to get started as soon as we finalize the details and look forward to working with you. Best regards, Mayank Sahu

@enricos0

Hi there, Once upon a time, I developed an AI-driven app that transformed the way users filtered unwanted calls, ensuring a clean and professional experience. My background in mobile development and machine learning gives me the confidence to meet and exceed your expectations for this project. I see you’re looking for a lightweight, user-friendly application that employs an AI identification system to block spam calls automatically. Your emphasis on minimal permissions aligns perfectly with my approach to user privacy, ensuring trust and compliance during app reviews. My expertise in Flutter and TensorFlow Lite allows me to build seamless, integrated solutions that perform efficiently across both iOS and Android platforms. I believe my skills in developing automated systems will make this project a success, backed by my commitment to speedy communication and a fast turnaround. I am available for a quick chat! Regards, enricos0

@kdstechsolution

Hello, Your project is a great fit for my experience. I can develop a lightweight cross-platform app using Flutter or React Native with secure AI-powered spam detection, automatic call blocking, and a clean activity log while keeping permissions minimal. I have experience integrating on-device and cloud-based ML solutions using TensorFlow Lite and REST APIs, with a strong focus on performance, battery efficiency, and privacy. For call-screening features, I follow the native Android and iOS APIs to ensure compliance with Google Play and App Store guidelines. The app will include: * AI-powered spam detection with low latency * Automatic spam call blocking * Activity log with confidence scores and "Not Spam" feedback * Secure, scalable architecture with unit testing * TestFlight and Google Play internal testing builds I can help you achieve the required accuracy targets while minimizing false positives through continuous model tuning and efficient inference. I’d be happy to discuss the project in more detail and get started. Thank you.

@visionsolutionss

As an experienced software development agency, we have a strong track record of creating powerful mobile applications just like the AI Spam Call Blocker App you're seeking. Our fluency in Android, Flutter, iPhone, Kotlin, and React Native puts us in an excellent position to seamlessly deliver your dual-platform application. We understand the importance of a clean look and optimal performance; hence we deploy groundbreaking technologies that easily connect with the latest iOS and Android versions, in compliance with App Stores and Google Play guidelines. We also enjoy building apps with user-centric interfaces that require limited permissions. Our approach ensures that users trust our apps as their personal data is treated with utmost respect. Through our proprietary systems and techniques, we consistently block over 95% of known spam calls while maintaining false positives at less than 1%, exceeding even your criteria for acceptance. Given our successful strategies for project management and delivery as well as emphasis on long-term technical support, Vision Solutions is your reliable partner for developing the AI Spam Call Blocker App. Embrace innovation; choose us today!