HandLingo: Intelligent Sign Language App

@corpmember29

I HAVE WORKED ON A SIMILAR AI + SIGN-LANGUAGE TRANSLATION SYSTEM — READY TO BUILD HANDLINGO INTO A COMPLETE, INTELLIGENT PSL RECOGNITION PLATFORM. I specialize in end-to-end development of AI-driven mobile applications and can deliver the full HandLingo ecosystem exactly as defined in your SRS—Android app, ML model, backend APIs, admin dashboard, database, deployment, testing, and documentation. Core Features I Will Deliver Android app (Kotlin/Java) with Text→Sign & Sign→Text modes Offline video dictionary with fast caching Integrated TFLite model with ≥85% accuracy Camera-based recognition with confidence scores & history Multilingual UI (English + Urdu with RTL) Secure backend with JWT auth, dictionary APIs, feedback system, analytics Admin dashboard to upload videos, manage dictionary, view model stats & user feedback Fully deployed cloud infrastructure with SSL, database, and storage setup User Roles End Users: Search signs, translate, use recognition, view history Admins: Upload sign videos, manage dictionary, review feedback, monitor analytics Super Admin: Manage models, system configurations, user roles You will receive 100% complete source code, dataset scripts, model files, deployment setup, detailed documentation, and 2 years of free ongoing support post-launch for fixes, updates, and optimisation.

@ZohaibRoy

⭐⭐⭐⭐⭐ Create an Intelligent Sign Language App for HandLingo ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you are looking for a mobile app to translate Pakistani Sign Language. You have no need to look any further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for mobile applications. I will create both the Dictionary and Recognition modes as outlined in your SRS document, ensuring all features are efficiently implemented within your budget. ➡️ Why Me? I can easily do your HandLingo project as I have 5 years of experience in Android app development, machine learning, and backend APIs. My expertise includes Android (Kotlin/Java), TensorFlow, Python, and cloud deployment. I also have a strong grip on other relevant technologies, ensuring a comprehensive approach to your project. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. Looking forward to discussing this with you in chat. ➡️ Skills & Experience: ✅ Android Development (Kotlin/Java) ✅ Python Programming ✅ TensorFlow & TFLite ✅ Machine Learning ✅ Backend Development (FastAPI/Node.js) ✅ Database Management (SQL/NoSQL) ✅ Cloud Deployment (AWS/DigitalOcean) ✅ UX/UI Design (Figma) ✅ Video Processing ✅ RESTful API Development ✅ Data Preprocessing ✅ Testing & QA Waiting for your response! Best Regards, Zohaib

@TechizeBuilder

Hi Ahmer A., I came across your project "HandLingo: Intelligent Sign Language App" and I'm confident I can help you with it. About Me: I'm a agency owner with over 8+ years of experience in Mobile App Development, Node.js, Figma, Java, SQL. , and I understand exactly what’s needed to deliver high-quality results on time. Why Choose Me? - ✅ Expertise in required Technologies and 1 year post deployment free support - ✅ On-time delivery and excellent communication - ✅ 100% satisfaction guarantee Let’s discuss your project in more detail. I’m available to start immediately and would love to hear more about your goals. Looking forward to working with you! Best regards, Deepak

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@shawanay

Greetings, I understand your requirement for HandLingo, an intelligent Pakistani Sign Language mobile app and my hypothesis is that I will implement offline video caching, ML-based sign recognition, TTS support, a web admin dashboard for video management and analytics, and ensure proper deployment, testing, and documentation. Let’s connect and we will jump on further discussion, btw this is not an auto bid like others. Best regards, Shawana

@khurshid040462

Hi there, I am excited about the opportunity to develop HandLingo, an innovative app for translating Pakistani Sign Language. With extensive experience in Android development using Kotlin and strong expertise in machine learning models, I am confident in my ability to deliver both the Dictionary and Recognition modes effectively. I have successfully integrated video playback and machine learning features in previous projects, ensuring smooth user experiences and high accuracy rates. I plan to start by preparing the dataset and designing the app's UI in Figma while adhering strictly to the provided SRS. I'll ensure maximum usability and performance for mid-range Android devices. Let’s discuss the project timeline and your specific needs further. Best regards,

@UshnaT

Dear Hiring Team, I am thrilled to submit my proposal for the HandLingo project. With expertise in Android development, TensorFlow, Python, FastAPI, and Figma, I am well-equipped to bring this intelligent sign language app to life. My focus on seamless collaboration and attention to detail ensures that the final product will exceed expectations. I am committed to delivering exceptional results and am ready to start immediately. I have reviewed the project details and requirements thoroughly and am confident in my ability to meet and exceed all expectations outlined in the SRS document. I am excited about the opportunity to work on such a meaningful and impactful project. Let's collaborate to create a distinctive brand identity that resonates with your audience. I look forward to the possibility of working together on this project. Warm regards,

@jonhw5

Hi there, What an inspiring and impactful project you’re building with HandLingo! I’m excited about the opportunity to create a robust, user-friendly solution that bridges technology with accessibility for the Deaf community in Pakistan. From seamless PSL recognition to engaging UI/UX in both English and Urdu, I’m ready to deliver a polished Android app, an accurate ML model, and a powerful admin dashboard—all as per your SRS and with premium quality. Having hands-on experience in AI-driven mobile apps, multilingual interfaces, and scalable backend systems, I will ensure your requirements for accuracy, security, and usability are exceeded. You’ll receive regular progress updates, clear documentation, and everything deployed on secure cloud infrastructure—plus post-delivery support for your peace of mind. Let’s make HandLingo a benchmark for inclusive tech together! Best regards, Vitalii

@novatech2210

Hello Ahmer, Your project brief for HandLingo is one of the most comprehensive we've seen—it's clear you have a strong vision. Building a full-stack intelligent sign language app, from the TFLite model to the Android frontend and admin dashboard, is a complex task we're perfectly equipped for. At Novatech, we developed a similar gesture recognition system for a health tech client, achieving high accuracy on-device with a custom CNN model and a Python/FastAPI backend. We're confident in meeting your ≥85% accuracy requirement for PSL recognition. We can handle the entire scope—the Android app, ML pipeline, API, dashboard, and cloud deployment—and deliver a production-ready system exactly as per your SRS document. Let's connect to discuss the details.

@muamerITdev

Warm Greetings! I understand you need a full end-to-end solution for HandLingo—an Android app, ML model, backend, and admin dashboard—built exactly according to the SRS with all required deliverables implemented to production level. My approach is to architect the system in modular layers: TFLite-optimized PSL recognition on-device, a FastAPI or Node.js backend with secure APIs, a clean SQL schema, cloud deployment with caching/CDN for fast video delivery, and a React-based admin dashboard. This ensures high accuracy, low latency, and a workflow that can scale as more signs and features are added. I’ve built websites across continents — fueled by coffee, late-night inspiration, and a passion for clean code — now I’m here to bring your project to life (without the jitters). Best regards, Muamer Kaukovic

@Chance1Weston

Hello, As a seasoned Java and Node.js developer, I bring deep experience in native Android app development to the table - making me the perfect fit for delivering HandLingo: Intelligent Sign Language App. My technical proficiency in TensorFlow/TFLite and Python (ML) aligns perfectly with your project's demand for a Machine Learning model (PSL recognition). Having expertise in developing authenticated backend APIs and implementing SQL/NoSQL databases using FastAPI and Node.js, I'm confident that I can construct the robust back-end infrastructure necessary to support your application's various functionalities. Additionally, my experience in designing intuitive UI/UX will enable me to build an aesthetically pleasing multilingual interface for HandLingo. My mastery over frontend technologies like HTML, CSS, JavaScript along with a great command over Figma will further ensure the compatibility of the app across different Android devices. Moreover, my skills extend beyond development itself. From product management to thorough documentation, I understand the value of an organized workflow. Throughout the project, I will maintain a crystal-clear communication line, providing regular updates on my progress with full adherence to budget and deadline. With me by your side, you can trust that every aspect of HandLingo application from design to testing will be handled meticulously. Let's turn your vision into reality! Thanks!

@shailender18

As an experienced Full Stack Developer with a focus on Android and iOS (native & hybrid) app development, I have the requisite skills to bring your HandLingo project to life from start to finish. Not only have I crafted numerous real-time dashboards, admin panels, but also worked extensively with AI chatbots, which I believe equip me perfectly for your app's voice-to-text translating function. Throughout my career, I've demonstrated success in developing highly-functional mobile applications and dynamic backend APIs. My ML expertise using TensorFlow/TFLite coupled with my experience in Python helps me design and build effective models for object recognition like the one needed for PSL translations. My familiarity with database management will be insightful in creating a secure system for storing sign videos and model artifacts while ensuring seamless connection between the database and the app. I'm adept at keeping up-to-date documentation which is vital for any project's lifecycle.

@Specgi

With a strong background in mobile app development and machine learning, I am excited to present you with comprehensive solutions for your HandLingo project. My proficiency in using Java for Android development is a perfect fit for creating a robust and user-friendly sign language app. Moreover, I have hands-on experience with Python's ML stack such as TensorFlow which is essential for building your PSL recognition model. I am confident in my ability to create effective training datasets and achieve a high level of accuracy using techniques like normalization, resizing, and augmentation. On the backend side,I prioritize data security through techniques like JWT-based login/registering and API authentication. My experience with SQL and NoSQL can help optimize query performance while ensuring data integrity. Additionally, my comfort in working with popular cloud platforms like AWS or DigitalOcean will help you seamlessly deploy your solution.

@SourceX

Excited to support your vision, This project aligns perfectly with our recent work; my team recently completed a similar project focusing on creating user-friendly, efficient, and scalable mobile applications with integrated machine learning capabilities. Proposed Solution: Our approach involves utilizing Android development (Kotlin/Java), TensorFlow for ML model creation, and FastAPI for backend API development integrated with SQL/NoSQL databases. Cloud deployment for seamless accessibility and Figma for sleek UI designs. Core Expertise: Our team specializes in Android app development, machine learning model creation, backend API development, database management, and UX/UI design. While we are new to Freelancer, we have extensive off-site experience delivering top-quality projects with proven timelines and communication. Happy to take this to my team - feel free to share any additional needs; there’s no obligation. Regards, Neliaan