Android WhatsApp Property Extractor App

@Riasatali78

I’m a native Android developer experienced with notification-based processing, on-device OCR, and local databases, and I work strictly within Android OS and privacy limits. I can build a compliant, efficient app to classify incoming messages, extract property data, and store it in a searchable database, and I’ll clearly outline the tech stack and realistic constraints upfront.

@abdf2010

Hello there, I reviewed your project Android WhatsApp Property Extractor App and understood the requirements at a high level. I focus on delivering clear, stable, and maintainable solutions aligned with the actual scope, I can work with Java, Mobile App Development, Android and follow a clean development process with proper structure and error handling. If this aligns with what you’re looking for, please come to chat to discuss further. Best regards

@bhartimalu

Hello, I am excited about the opportunity to develop your Android WhatsApp Property Extractor App. - I have extensive experience with Flutter and have successfully built similar apps that extract and organize data from messaging platforms. - My plan includes: 1. Requirement gathering and analysis 2. Designing the user interface 3. Implementing WhatsApp API integration 4. Testing and deployment - I will use Flutter for cross-platform compatibility and Firebase for backend support. - The project can be completed in 4-6 weeks with regular updates via your preferred communication channel. Choose me for my dedication to quality and timely delivery. What specific features do you want in the app? Do you have any design preferences? Regards, Bharti M.

@Jafferi12

Definately doable but in this property lead automation there is a very important catch! WhatsApp notifications often truncate long property descriptions, so if we only "scrape" the notification, we might lose the price or location details at the bottom of the text. I'm saying this because I have 5 years of experience in Android development and specialized in notification listeners and background processing. Most freelancers would just grab the notification text and call it a day, but they’d fail because they'd miss half the data on long listings and drain your battery with heavy OCR. I will build a lightweight "Notification Listener Service" that triggers Google ML Kit for instant on-device OCR so your data never leaves the phone. This benefits you by keeping the app lightning-fast and private, while saving every lead into a Room database which is perfect for the searchable table you want. I'll also add a simple keyword-based filter first to kill "junk" instantly before the AI even looks at it, saving your battery. I can genuinely assure you that this project is right up my alley because I've handled complex data extraction and local databases many times. I'm available to wrap this up as quickly as possible, likely within 7 to 10 days. Let's do it.

@dominicd28

Dear Client, Good afternoon . I hope this proposal finds you well. This is to inform you that I have KEENLY gone through your project description, CLEARLY understood all the project requirements as instructed in your project proposal and this is to let you know that I will perfectly deliver as desired. Being in possession of all stated required skills, (Android App Development, Android, Mobile App Development, Software Architecture, Database Management, Android SDK, OCR, Data Extraction, Java and Machine Learning (ML)), as this is my field of professional specialization having completed all certifications and developed adequate experience in the respective field, I hereby humbly request you to consider my bid for professional, quality and affordable services that meet all your requirements. I always guarantee timely delivery and unlimited revisions where necessary hence you are assured of utmost satisfaction when working with me. Please send me a message so that we can discuss more and seal the project. WELCOME.

@sumanj555

Hello, Greetings! I’m a senior full-stack developer with 6+ years of experience in building scalable mobile and web applications. I specialize in cross-platform and native mobile development using Flutter, React Native, Swift (iOS), and Kotlin/Java (Android), along with strong backend expertise in Node.js, Django, FastAPI, and Laravel, supported by modern cloud technologies. My team and I build end-to-end mobile solutions including custom dashboards, internal tools, automation systems, role-based platforms, secure APIs, real-time features, payment integrations, push notifications, and complete app store deployments. We focus on creating smooth user experiences, clean architecture, and reliable performance. We’ve worked on numerous mobile projects with different requirements and complexities, helping clients turn their ideas into well-designed, high-performing applications. Your project aligns well with our technical skills and development approach. I’d be happy to discuss your project scope, ideas, and goals, and suggest the best technical approach. Best regards, Suman Joshi

@ahmadraza001912

As a seasoned full-stack software developer specializing in mobile app development, I am your go-to expert for creating your Android WhatsApp Property Extractor App. My in-depth knowledge of building clean and efficient apps that don't compromise on performance meshes perfectly with your need for an app that swiftly and unobtrusively captures incoming messages. When it comes to the classification of messages, my exposure to different methodologies means that I can tailor an approach that best serves this particular task. Whether it involves designing keyword rules, developing a lightweight ML model or even a combination of both, I'll ensure high-accuracy without draining your device's battery life. What sets me apart is my holistic understanding of the software development process. With proficiency across the entire stack including database design, backend APIs, and cloud infrastructure management, I am well-equipped to meet your specifications for data storage and retrieval. I'm also a fan of user-centric functionalities and take pride in delivering exportation capabilities such as exporting to CSV or Google Sheets-something that you have expressed as a nice-to-have touch. To add to your peace of mind, I will include a confidence score for each extracted field letting you know when data has been double-checked. Let's start!

@Mxndeep

I propose building this as a fully on-device, privacy-first Android system that relies on official Notification Listener APIs rather than brittle accessibility hacks, ensuring long-term stability across Android 10+ devices. For classification, I recommend a hybrid pipeline: a fast rule-based prefilter to instantly eliminate obvious junk, followed by a lightweight TensorFlow Lite model only when confidence is low—this consistently delivers high accuracy while keeping battery usage minimal. Image listings will be processed using Google ML Kit’s on-device OCR for speed and offline reliability, after which a structured NLP extraction layer will normalize location hierarchies, pricing formats, dimensions, and features while assigning confidence scores to each field. Data will be stored in a Room-backed SQLite database with indexed columns to enable near-instant search and filtering, and the UI will focus on rapid scanning, validation, and export (CSV / Sheets) rather than visual clutter. This architecture is scalable, explainable, and maintainable, and is specifically designed to meet your accuracy and capture requirements without violating platform policies or user privacy.