Development of Cloud, AI, Firmware (High-Level) & Mobile App Ecosystem for AI Wearable Unit

@pinkeegupta

Hi I have read your requirements and I am sure 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 and for web and backend on react js and node js, Python Django, Power BI, Scikit-learn, Data Science AI ML, PyTorch, TensorFlow, SparkML , java spring boot and php CodeIgniter mvc. Please consider me and initiate a chat for further detailed discussion. Regards, Anju Logical Soft Tech Pvt Ltd, Indore(M.P)

@shamimhossan

I've successfully developed multiple IoT and AI-based ecosystems before, and I'm excited to bring that expertise to your AI Wearable Unit project! With a solid background in firmware, cloud architecture, and mobile applications, I can deliver a robust solution that meets your high standards. My 6+ years of experience in embedded systems and AI orchestration ensures that I can create high-level firmware that efficiently handles audio interaction, cloud APIs, and OTA updates. Plus, my proficiency in Node.js, Python, and mobile app development (Kotlin/Flutter) allows me to provide a seamless integration across all platforms. ? 1️⃣ What specific LLM APIs do you plan to integrate? ? 2️⃣ Are there any existing design documents I should review? ? 3️⃣ How do you envision the collaboration process with the hardware vendor? Let’s connect — just click the chat button, and let’s get your work done quickly. I’m ready and waiting for your message.

@Mahihassi

As a seasoned Software Engineer with a profound understanding of embedded systems like ESP32-S3, I assure you that I am more than capable of delivering cost-effective and top-tier Firmware Development services for your AI Wearable Unit project. Having completed similar projects in the past, I've gained substantial expertise in key areas such as audio streaming, MQTT/WebSocket integration, and LTE module integration - skills that align perfectly with the requirements of developing Audio-capturing & streaming capabilities, as well as IoT communication stack. Additionally, my proficiency in Python/Linux makes me an ideal candidate to tackle the development of your Cloud Backend necessities. With comprehensive Node.js/Python knowledge and hands-on experience with cloud platforms like Firebase/AWS/GCP, I can structure a scalable architecture for your backend system. My previous projects also include components like device registration and provisioning, OTA firmware distribution logic, and robust logging & diagnostics - all delivering the desired functionalities you seek.

@chraheelbhatti

As a Senior Machine Learning Engineer with over 8 years of experience, I believe I am excellently suited to build the complete software ecosystem your AI Wearable Unit requires. My expertise in IoT, embedded systems, AI/LLM integration, and scalable cloud architecture make me an ideal candidate for developing your high-level firmware, communicaing via different IoT messaging infrastructure channels, and incorporating all the functionalities you mentioned. In conclusion, my vast experience with IoT, Firmware development and especially Cloud Development (python / Node.js; AWS / GCP understanding; Scable cloud architecture implementation) coupled with deep-rooted skills in Mobile App Development (including BLE pairing workflows) makes me a comprehensive fit for your project. Understanding the gravity and inter-dependency of each aspect you’ve outlined, I assure you of delivering top-quality work within project constraints. I am excited to offer a customized proposal in line with your requirements and to engage in meaningful dialogue about your project's vision.

@agilifytechllc

Experienced AI wearable ecosystem architect with 3 shipped voice-first IoT products (ESP32-S3 + AWS IoT Core + OpenAI Realtime API) ready to deliver your complete software stack—firmware + cloud + AI orchestration + Android/iOS apps achieving <500ms end-to-end latency from voice wake-word to streaming LLM response using ESP-IDF + AWS IoT + Vercel AI SDK + Flutter. Cloud Backend --> Node.js/Python on AWS/GCP/Firebase for device provisioning, scalable APIs, event scheduling, and subscription management​ --> Real-time IoT messaging (MQTT/WebSocket) with logging, diagnostics, and OTA firmware distribution​ AI Orchestration --> LLM API integration (OpenAI equivalents) for streaming audio, context memory, sentiment analysis, and prompt engineering​ --> Profile personalization, structured workflows, and fallback mechanisms​ Mobile App --> Android (Kotlin/Flutter mandatory) and iOS with BLE pairing, Wi-Fi config, device dashboard, notifications, and OTA controls​ --> Real-time cloud sync for logs, history, and command messaging​ Engagement --> Multi-disciplinary team: Dedicated firmware (ESP32 expert), backend/AI (Node.js/Python/LLM), and app developers (Kotlin/Flutter) for parallel delivery​ --> Milestone-based timeline: Month 1 firmware prototype + cloud setup; Month 2 AI layer + IoT infra; Months 3-4 app development; Months 5-6 integration/testing/OTA​ Regards, Atta

@mahig47

Hello! As per your project post, you are looking to develop a complete software ecosystem for a next-generation AI Wearable Unit that provides real-time, voice-first AI interaction via a cloud-based LLM engine. The goal is to deliver high-level firmware, a scalable cloud backend, an AI orchestration layer, and mobile apps for Android (mandatory) and iOS (preferred), all integrated with IoT messaging and OTA updates. My focus will be on delivering a full-stack solution featuring high-level firmware for audio capture, voice authentication, cloud streaming, and OTA handling; a cloud backend with device provisioning, IoT messaging, subscription management, and diagnostics; an AI orchestration layer with real-time LLM integration, context management, and personalized interactions; and a mobile app with BLE pairing, Wi-Fi onboarding, device dashboards, notifications, and OTA triggers. The ecosystem will ensure secure, reliable, and scalable communication between wearable devices, cloud services, and mobile apps. I specialize in ESP32-S3 firmware development, real-time audio streaming, MQTT/WebSocket, Kotlin/Flutter mobile apps, scalable cloud solutions (Node.js/Python), and LLM integration. My focus will be on building a maintainable, production-ready ecosystem that delivers seamless AI-assisted wearable experiences. Let us connect to discuss device workflows, cloud orchestration, and AI personalization strategies for this project. Best regards Nikita Gupta.

@ssquare489

I am Sumit Joshi from Sacesta Technologies. Your AI wearable ecosystem needs a partner who can handle firmware logic, cloud services, real time AI orchestration and mobile apps as one unified system. My team has delivered IoT platforms, real time audio systems and LLM based applications, so we can take full ownership of the software stack while aligning cleanly with your hardware vendor. Our approach begins with the high level firmware for ESP32 S3. We will implement audio capture and packetization, voice activation, Wi Fi and LTE switching, MQTT or WebSocket messaging, sensor events, power controls and OTA triggers. On the cloud side we will build a scalable backend in Node or Python with device provisioning, entitlement logic, OTA distribution, messaging and API endpoints for the apps. The AI layer will connect to your chosen LLM with streaming responses, context memory and structured workflows so the wearable feels responsive and personalized. For the mobile apps we can deliver Android and optionally iOS with BLE onboarding, Wi Fi setup, device dashboard and subscription management. We can share diagrams, sample dashboards and past IoT AI work once we connect and outline a clear milestone plan for the 4 to 6 month build. Regards, Sumit Joshi

@vpaul9678

Hi, I have 8+ years of experience in software development with strong expertise in IoT, AI/LLM integration, and scalable cloud systems. I can handle the complete software ecosystem—including high-level firmware, cloud backend, AI, and Android/iOS apps. I’ve previously built IoT-based products, real-time communication systems, and AI-driven applications end to end. Your project requirements match my skill set, and I’m confident in delivering a robust, production-ready solution. I can share past work, propose architecture, and provide a clear milestone-based plan once we move forward.

@prashjain92

Hi, -=-♠♠♠♠-=- I HAVE ALREADY DONE SIMILAR WORK IN PAST PLEASE OPEN THE CHAT WINDOW SO I CAN SHARE WITH YOU -=-♠♠♠♠-=- I have gone through your detailed description with complete attention and I am genuinely interested in understanding your long term vision for this next generation wearable ecosystem. The combination of cloud flow, artificial intelligence orchestration, mobile apps, and advanced device logic makes this a very exciting challenge and I am confident in supporting you across the full cycle. You are looking for high level firmware logic for audio capture and interaction, a scalable cloud backend, a smart orchestration layer for artificial intelligence communication, and mobile applications that manage pairing, connectivity, notifications, and device control. I understand how important it is for all parts to be stable, secure, and aligned with your hardware strategy. Core scope includes real time communication, onboarding flow, device management, artificial intelligence routing, notification layer, subscription control. I bring more than seven years of experience across mobile development for both major platforms, frontend and backend development, user interface and user experience design, and integration of complex systems including device communication and cloud architecture. Let us schedule a quick chat to align your vision and next steps. Best Regards, Prasham Jain

@Sobitandra

With 7+ years of experience in Flutter development and a myriad of other skills, I am confident that I am the perfect fit for your project. My specialization is in developing high-performance and cross-platform mobile applications which aligns well with the needs of your project. I have a strong command over state management (GetX, Provider) which is key to delivering seamless user experiences, along with vast proficiency in third-party API integrations and advanced localizations. What this means for you is an app developed with utmost precision by integrating all the essential features that you need, even including RTL languages. Moreover, my expertise extends beyond just app development. I am also proficient with cloud management using AWS and Git / GitHub/ Gitlab ensuring scalability and efficient code version management respectively.I aim to develop a robust cloud architecture while implementing an easy-to-use IoT messaging layer through MQTT/WebSocket to accommodate real-time communication between your wearable unit and the mobile application. This approach promotes scalability without compromising on performance which is crucial for your project. Lastly, what sets me apart from others is my reputation for writing clean, scalable code and consistently delivering reliable, production-ready solutions. I take pride in providing top-notch quality within agreed timelines. Let's team up and bring life to this ambitious AI Wearable Unit project!

@karthikresonite

Hello, Resonite Technologies can build the full software ecosystem for your AI Wearable Unit—high-level firmware, cloud backend, AI orchestration, and mobile apps—aligned to your 4–6 month roadmap. Scope We Deliver: • Firmware (ESP32-S3): Audio capture/packetization, voice activation, BLE/Wi-Fi/LTE switching, MQTT/WebSocket stack, sensor events, streaming AI response handling, OTA hooks, power/thermal logic. • Cloud Backend: Device provisioning, IoT messaging, APIs, alerts, routines, subscription system, diagnostics, OTA distribution, full logging pipeline. • AI Layer: LLM integration, streaming audio out, context memory, sentiment-aware logic, personalization profiles, workflow templates, fallback flows. • Mobile Apps: Android (Kotlin) + optional iOS; BLE pairing, Wi-Fi config, dashboard, notifications, commands, subscriptions, OTA triggers, logs. Stack: ESP32-S3, MQTT/WebSocket, Node.js/AWS/GCP, LLM APIs, Kotlin/Swift. Team: Firmware + Cloud + AI + Mobile specialists with IoT & LLM experience. Timeline: 4–6 months with weekly builds. Price: $60k–$85k depending on LTE + AI workflow complexity. We can share IoT/AI system demos and start after architecture alignment. Best regards Resonite Technologies