Multilingual AI Language-Learning App

@Microlent

Hello, I am Dr. Rajesh Rolen, PhD in Computer Science & Engineering, with experience of over 20+ years in Android, Mobile App Development, iPhone, Swift, AI Chatbot, AI Chatbot Development, AI Development As a preferred freelancer in the top 1%, I have done 400+ projects here on freelancer.com, I have 4.9 ratings out of 5 on average, which showcases my quality of work and timely delivery. Key Highlights: - Free Hosting Support on the Cloud or any desired platform. - Free 3 months of post-delivery support to ensure that our client doesn’t face any challenges after the launch of the project. - Free Dedicated tester on projects to ensure quality delivery, so clients don’t need to act as a tester. - 10+ Years experience UI/UX team to ensure intuitive UI. Portfolio: https://www.freelancer.com/u/Microlent Please open the chat and send me a message, so we can have a more detailed discussion about the project to give you the project timeline and cost. Thank you for considering my services. I look forward to engaging in a productive conversation and understanding how I can be of assistance in bringing your project to life. Regards Rajesh Rolen

@corpmember29

LET’S BUILD A REAL-TIME AI LANGUAGE TUTOR THAT FEELS LIKE A REAL HUMAN CONVERSATION. I have 12+ years of IT experience and strong expertise in AI/LLMs, ChatGPT, voice systems, mobile/web development and cloud technologies. I’ve worked on similar conversational AI platforms and can deliver this MVP with a scalable architecture. Core Flow: Learner selects language → starts text/voice conversation → AI understands context → responds naturally → learner can switch languages without losing context → system tracks mistakes and vocabulary. Key Features: • English, Spanish & Chinese • Real-time AI conversations • Text + optional voice • Seamless language switching • Conversation history & progress tracking • Error detection & vocabulary review • Admin dashboard for language/model management • Modular AI architecture for future fine-tuning and new languages I’ll provide a working demo, clean source code in Git, setup documentation and API placeholders, optimized for low-latency responses. Ready to start and build a focused, scalable MVP.

@C0RETECHIES

Hi, You are building a conversational language practice engine similar to Speak. The operational challenge is maintaining dialogue state across mid-session language switches while asynchronously surfacing grammatical corrections and tracking vocabulary gaps without disrupting chat flow. Technical approach: We will build a React Native UI communicating with a Node.js backend. The dialogue manager will use LangChain to orchestrate OpenAI models, decoupling the LLM calls so you can swap in custom endpoints later. State management will handle context retention during language toggles, ensuring sub-2-second latency via streaming. Core modules: The engine includes a multi-turn conversation tracker, a context switch handler, an async vocabulary and error extraction pipeline, and an admin panel for model management. Relevant systems: Dexter (AI conversational companion with custom personas and memory) AI Chatbot Backend (Production conversational AI with contextual memory) Implementation strategy: We start by building the stateful dialogue manager for English, Spanish, and Chinese. Next, we implement the React Native text UI. Finally, we integrate error-tracking logic and deliver the Git repo with local setup instructions. Questions: 1. Should we implement Whisper for STT and OpenAI TTS now, or keep it text-first? 2. Do you prefer session persistence via local storage or a lightweight database like PostgreSQL? 3. Is a simple configuration interface sufficient for the admin dashboard in this MVP? Regards, Rohit

@sunainawbst

✅ AI Language-Learning App| React Native | Firebase |Mobile App Development Expert Hi, Hope you are doing good. I have read your requirements carefully and can give you 100% assistance as a React Native Developer for building or enhancing your mobile application. I specialize in creating fast, stable, and scalable apps for both iOS & Android, backed by a secure and efficient Firebase architecture. I’d love the opportunity to discuss your idea further and collaborate on developing a modern, intuitive, and impactful app. (Note: Please consider the current budget as flexible — we can finalize it after discussing the complete scope.) Thanks & Regards, Kajal

@Hammadhassan21

Howdy, The key to keeping this MVP expandable is separating the dialogue manager from language specific model integrations, so adding Korean, Japanese or other languages later does not require rebuilding the core conversation flow. I can structure the app around that modular approach while keeping the initial English, Spanish, and Chinese experience focused. The MVP would cover contextual conversations, mid session language switching, conversation history, error/vocabulary tracking and a clean UI with text or voice support depending on the chosen stack. OpenAI/GPT style APIs can handle the initial language engine while leaving a clear path for later fine-tuning or model replacement. I would also keep the two second text response target in mind from the start, rather than treating performance as a final stage issue. Portfolio: https://www.freelancer.com/u/Hammadhassan21 Best regards, Hammad Hassan

@DrSyafiq

For a Multilingual AI Language-Learning App, the hard part is turning a large body of source material into a coherent course experience with consistent visuals, video, and navigation. I've handled similar builds involving Mobile App Development, iPhone, Android, Swift, usually where the important part was translating the brief into a reliable working system. My approach would be to first organize the 100-canto content structure, then build a repeatable production workflow for images, videos, presentation assets, and the course web experience. For this project, I would focus especially on: - Content map for 100 cantos, image sets, and presentation structure - Video production workflow, visual consistency, and reusable templates - Course website navigation, interactive elements, and handover assets If helpful, I can suggest a production plan for one canto first so you can approve the visual and course format before scaling to all 100. Best, Dr. Syafiq

@InterconnectBPO

I can build this AI language-learning platform with a modular architecture inspired by apps like Speak, supporting English, Spanish, and Chinese in the MVP with seamless language switching while maintaining conversation context. I’d recommend Flutter for the cross-platform app, with a scalable backend, OpenAI API integration, and a modular language/AI layer that allows future fine-tuning or model replacement without rebuilding the dialogue engine. I can also implement conversation history, error detection, vocabulary suggestions, progress tracking, and an admin dashboard for managing languages. I’ll provide the complete source code, working demo, setup documentation, and clean separation between UI, backend, and AI services. I can start with the MVP and expand additional languages once the core engine is stable. Regards Jp

@OutsourceMan

Hello Valuable Client, CnEL India can build a modular AI language-learning MVP inspired by the conversational experience you described, with English, Spanish and Chinese as the initial languages. **Our Methodology:** 1. **Architecture Planning** – Design a modular structure separating the UI, conversation engine, AI/LLM layer, language configuration and data services so future languages can be added without rewriting the core. 2. **AI Conversation Engine** – Integrate an LLM with session memory and contextual conversation handling, including seamless language switching while preserving context. 3. **Language Layer** – Configure language-specific prompts, vocabulary/error handling and a structure that can later support fine-tuning or additional models. 4. **User Interface** – Build a responsive web or cross-platform interface for text conversations, with voice capability structured as an extensible module. 5. **Progress Tracking** – Store conversation history, identify common errors and provide vocabulary-review suggestions. 6. **Admin Dashboard** – Provide controls for language/model configuration and future expansion. 7. **Testing & Optimization** – Validate all three languages, switching behaviour, API latency, responsiveness and code quality before delivery. We’ll provide clean source code, setup documentation and a working demo for the MVP. **Regards, CnEL India Team**

@alimumtaz112

Hi, It will be an honor for me to work with you. I have got 12 years of mobile application development experience (iOS, android, flutter). Lets discuss this in detail and get this started. Looking forward to hear from you.

@mrresearcher99

Hello, I have 10 years of experience building AI-powered applications with OpenAI APIs, LLM integrations, React.js, and React Native. I can develop a focused MVP for real-time language practice with contextual conversations, English, Spanish, and Chinese support, session-based language switching, conversation history, progress tracking, and vocabulary recommendations. I recommend React Native for a cross-platform learner experience, with a React.js admin dashboard and a modular Node.js REST API. The AI layer will use configurable language profiles and a provider abstraction, allowing future fine-tuning or model replacement without rewriting the dialogue manager. I will prioritize secure API handling, low-latency responses, clean architecture, readable code, and clear separation between UI, business logic, and AI services. Let’s discuss the voice and model requirements. Best regards

@pinkeegupta

Hi I will be able to help you. Please message me so that we will have detail technical discussion. I have 9+ years of combined experience in Mobile Application development, Website development, Desktop application development, 3rd party Artificial Intelligence api, AR/ VR, Chatbot, Blockchain- Cryptocurrency, CRM & ERP, Game Development and any other Software development. I am having expertise in Native on Android Java, kotlin and IOS Swift, and For Hybrid Cross platform on Flutter Dart & React- Native, and for web and backend on react js and node js, Python Django. Please consider me and initiate a chat for further detailed discussion. Regards, Anju

@rbtech1984

Hello!! I understand you need a multilingual AI language-learning app with natural conversations, smooth language switching, progress tracking, and a modular architecture for adding more languages later. • Do you prefer a mobile application or web application for the first version? • Should voice chat be included from the beginning? • Do you already have a preferred AI model provider? A scalable solution will be built with English, Spanish and Chinese as the launch languages, preserving conversation context when users switch languages. The architecture will keep the user interface, business logic and AI integration separate, making future language models and fine-tuning easier. Progress tracking, vocabulary suggestions, an admin dashboard, clean source code and a working demo will also be included. Relevant AI chatbot, multilingual application and API integration projects have been completed, and the goal will be to create an experience that makes language practice feel natural and engaging. Let us discuss the best technology stack and get started. Best regards Farhin B

@rajat07me

As an established digital agency with an unwavering focus on keeping up with the latest technological advancements, particularly in the realm of AI, **360 Elevate** is well-positioned to take on this Multilingual AI Language-Learning App project. We have a proven track record of delivering high-quality, results-driven solutions in mobile app development, a skill that will be critical for the successful execution of your concept. Our expertise extends to AI Chatbot Development and Integration, disciplines key in creating and maintaining a robust conversation engine for your language-learning app. We will build the necessary open-source language models ensuring that they remain modular for easy incorporation of additional languages in the future. Additionally, our meticulous approach to business automation aligns perfectly with your need for a reliable admin dashboard to add new language models seamlessly. At **360 Elevate**, we value collaboration and efficiency. You can expect full transparency throughout the project, starting with hosting all code and providing detailed setup notes in a public Git repository. Moreover, our commitment to continued service beyond completion ensures we will always be available to provide any necessary support or updates you may require. Let's work together to develop an interactive language-learning platform that excites and educates users, regardless of their tongue!

@Eliteinno

Hello, The core challenge is not the chat UI, but preserving tutoring context while allowing language changes and extracting learning signals from each conversation. A modular AI layer can keep the dialogue manager independent from the model provider, while conversation records provide the data needed for error detection and vocabulary review. For the MVP, I would prioritize text conversations in English, Spanish, and Chinese, with the architecture prepared for additional languages and a later voice layer. The two-second target should also be treated as an optimization target around API latency, prompt size, and response streaming rather than a hard guarantee. A focused prototype can establish the core architecture before expanding the feature set. Have a nice day

@zainalitariq245

Hi i can show you my similar live published Learning platforms, The hard part here is not connecting an LLM. It is keeping conversations natural while switching between English, Spanish and Chinese without losing context, and keeping the dialogue layer flexible enough for future languages and voice. I would separate the conversation manager, language configuration and AI provider so new models can be added without rebuilding the core. I have developed AI driven applications with LLM APIs, conversation workflows, user history and modular backend architecture. I would start with a focused MVP, optimize the text response path for low latency, then add voice once the core experience is stable. Business idea personalized error patterns and vocabulary review could become the strongest retention feature, giving users a reason to return daily. Would you like voice included in the initial MVP, or should we validate text conversations first? PS: You’ll get competitive rates with the quality you deserve. After discussing your requirements ican suggest the best scalable approach and provide an estimated timeline and cost. My portfolios, https://www.freelancer.pk/u/zainalitariq245 Looking forward to discussing your project further. Best Regards, Zain A.

@gtssoftindia

Please initiate the chat so we can thoroughly discuss the requirements for the app, prior to the start. Happy to provide the final budget in chat. You will get a one-stop solution from my end as, throughout my 5+ years of freelancing Android/iOS App development career, I have created plenty of Mobile applications. I ensure to give the best quality app with good performance and responsive attractive UI and I have provided the clients with excellent results. I have expertise in Swift, React Native, Node.js, React.js, Angular, Laravel, and PHP. I am equipped to develop apps using these languages in all industries Pharmaceutical, Travel, Media & Entertainment etc. I also handle backend integrations for third-party collaborations on your systems. well versed in Mobile App Development in-App-Purchases, User Authentication, User Profile Creation, Location, Chat and Messaging, Map Integration, Payments, Social Media Account Integration, and many more to show. Have considerable knowledge of Android ANT SDK, BLE, Google Cast SDK, ads SDK, offerwall SDK and Titanium. I use libraries such as Sherlock Action Bar, OpenGL, Media Framework, and WebKit to build IoT integration app solutions. I am always interested in making long term professional relationships with my clients to ensure that every project becomes successful. So, if you hire me, I can assure you that you will not regret your decision. Best Regards Tejash J.

@sabaehsan

Greetings, I’m excited about your project to create a multilingual AI language-learning app. It sounds like you want to develop an interactive platform where users can practice languages through real-time conversations with an AI tutor. To achieve this, I would focus on building a robust conversation engine that understands context and can smoothly switch between languages. Using OpenAI or similar models, I can design a modular architecture that allows for easy addition of new languages in the future. For the user interface, I’d ensure it is intuitive for both text and voice chat, whether on mobile or web. I also understand the importance of progress tracking and a clean separation between UI and logic, which will help maintain the code's readability. Looking forward to discussing further how I can contribute to this exciting project. Best regards, Saba Ehsan

@tonybhsl

Hi, We can build your AI language-learning MVP inspired by Speak, with a modular architecture so additional languages can be added without rebuilding the core engine. Approach: Build contextual AI conversation engine for English, Spanish & Chinese Support seamless language switching while retaining conversation context Add text chat with optional real-time voice interaction Store conversation history, errors and vocabulary suggestions Create admin dashboard for managing languages/models Use OpenAI/GPT-style APIs with a modular AI layer prepared for future fine-tuning Optimise API streaming and response handling for low latency Keep UI, dialogue logic and AI services cleanly separated Recommended stack: React Native/Expo + Node.js + PostgreSQL, with OpenAI APIs and WebSockets/streaming for real-time interaction. We’ll deliver the source repository, working demo, setup documentation and a structure ready for Korean, Japanese, Thai, Hindi and Portuguese expansion. Warm Regards, Deepika Sharma Bhanguz Software So

@BarryCrouch

✋ Hi, the main challenge here is not connecting an LLM. It is keeping conversation context, language switching, correction logic and latency consistent enough that the app actually feels like a tutor rather than a generic chatbot. I’d separate the system into a dialogue layer, model/provider adapter, language configuration, progress tracking and optional speech pipeline. That way English, Spanish and Chinese can share the same core logic while still having language-specific prompts, correction rules and future fine-tuning options. I’d first validate one complete text-based learning session, including language switching, conversation memory, error capture and vocabulary suggestions, before adding voice and expanding the language set. Do you want the MVP to include live voice conversation from day one, or should text chat be the first stable release with voice added immediately after?