AI-Powered Remote Control Car with voice commands

@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

@webmasters486

Hey, I’ve reviewed your project and understand you’re looking to transform your RC chassis into a smart, autonomous prototype that detects obstacles in real time, plans collision free paths, and switches instantly between AI and manual control through a unified mobile app. The focus will be on low latency control, reliable navigation, and a modular software stack ready for future upgrades. I can build the system using Raspberry Pi 4 as the edge brain with Python based perception and path planning. For lightweight on device inference, I recommend TensorFlow Lite for efficient model execution and easy OTA model swaps. Obstacle detection will combine camera input and ultrasonic data, while A star or RRT can handle path planning. A FastAPI backend can stream low latency video and telemetry to a Flutter based cross platform app with live feed, mode toggle, map view, and OTA firmware push to the ESP controller. The solution will meet your 5 by 5 meter collision free criteria, maintain under 150 ms manual latency on local WiFi, and include TestFlight and Google Play internal builds, full source code, trained models, wiring diagrams, and a clear README. Estimated timeline is 4 to 6 weeks. Let’s connect to refine architecture and milestones. Best regards, Muhammad Adil Portfolio: https://www.freelancer.com/u/webmasters486

@DigitalNightOwl8

Hello there , Good afternoon! I’ve carefully checked your requirements and really interested in this job. I’m full stack node.js developer working at large-scale apps as a lead developer with U.S. and European teams. I’m offering best quality and highest performance at lowest price. I can complete your project on time and your will experience great satisfaction with me. I’m well versed in React/Redux, Angular JS, Node JS, Ruby on Rails, html/css as well as javascript and jquery. I have rich experienced in Computer Vision, Raspberry Pi, Mobile App Development, Arduino, Bluetooth Low Energy (BLE), Machine Learning (ML), iPhone and Robotics. For more information about me, please refer to my portfolios. I’m ready to discuss your project and start immediately. Looking forward to hearing you back and discussing all details.. Thanks & Regards

@shadabkhan92

As a seasoned team of full stack developers, we've managed to hone our skills in the application of cutting-edge technologies such as A.I, Machine Learning (ML), and Internet of Things (IoT) in both web and mobile app development. This serves as a firm foundation underpinning our abovementioned expertise which perfectly aligns with the demands of your AI-powered remote-control car project! Our broad experience in employing relevant programming languages like Python, Java, Javascript, and others make us the ideal team for this job as we already possess expertise with TensorFlow Lite, PyTorch Mobile, and other frameworks that might be useful for your specific requirements. Furthermore, our proficiency in using platforms like Raspberry Pi 4 coupled with our knowledge of essential sensors enables us to work efficiently on the hardware aspect of your project. Our experience includes building complex systems using Raspberry Pi's architecture and managing them from various mobile applications. We assure you that this project will leverage only the most effectual hardware-software integration techniques. Lastly and most importantly, we understand the value of future scalability; therefore, we develop software solutions with modular elements allowing for seamless future upgrades. With us, it won't be just a prototype but a bedrock for improved models as well! Choose us and let's make your dreams come true - Shadab and his accomplished team are equal to the task!

@amaank66

Hello, Your vision of transforming an RC chassis into an AI-driven autonomous smart vehicle is exactly the kind of advanced system we specialize in. We will deliver a clean, modular architecture that enables real-time obstacle detection, intelligent path planning, and instant switching between autonomous and manual control from a single mobile app. Proposed approach: AI stack: TensorFlow Lite (lightweight, fast, ideal for Raspberry Pi edge inference) Navigation: Sensor fusion (camera + ultrasonic) with modular path-planning engine Control: Central logic for seamless manual/autonomous mode switching Streaming: Low-latency live video feed (WebRTC) OTA: Secure firmware + AI model updates App: Cross-platform Flutter app (iOS + Android) Architecture: Modular services for future upgrades Deliverables: Autonomous navigation with obstacle avoidance Real-time video + hazard/path mapping Manual mode <150ms latency OTA updates system TestFlight & Google Play Internal builds Full Git repo (code, models, wiring diagrams, docs) We ensure performance, scalability, and clean architecture with production-grade standards. Ready to start immediately. Best regards, Amaan Khan P. CUBEMOONS PVT LTD.

@tamannarajput18

As a Full Stack Developer with a shining track record of transformative projects, I am thrilled to offer my skills and expertise for your AI-Powered Remote Control Car project. I bring years of experience and proficiency across the software stack you require, making me particularly suited for this task. My aptitude in mobile app development (both iOS and Android), a core component of your project, guarantees a seamless experience for you and the remote car. In line with your needs, I can provide you with a Git repository hosting all code, trained models, and wiring diagrams alongside my π terrain of explanation in a concise README. With modularity in focus for future upgrades, I will develop separate microservices where applicable. For instance, considering the path planning aspect of the project - which is indeed modular - it is a great idea to isolate that into its own service. This would allow easy upgrading or swapping functionality down the line. Moreover, I can't overemphasize how important testing is in ensuring project success. I'm dedicated not only to meeting your acceptance criteria of navigation performance but exceeding it - multiple error-free runs through obstacle courses are what should happen.

@engrhasan01

Hi, I can build the complete software + integration stack to turn your RC chassis into a smart autonomous car with seamless switching between manual driving and AI-assisted autonomous mode, all controlled from a single **iOS/Android app. Using your Raspberry Pi 4 as the main compute node, I will implement a low-latency video pipeline (WebRTC or RTSP/MJPEG depending on your latency target), real-time sensor fusion (camera + ultrasonic), obstacle detection, and a lightweight path-planning module (A* / DWA / VFH hybrid) to reliably navigate a 5×5 m course. The ESP-based controller will handle deterministic motor/steering control via PWM with a fast command protocol (UDP/WebSocket) to achieve <150 ms manual response, while the Pi manages autonomy logic and mode switching. For AI inference, I can integrate tennsorFlow Lite (fast on ARM, easy quantization, stable deployment) or PyTorch if your model pipeline prefers it, and implement OTA firmware/model update support with versioning and rollback safety. Deliverables include the cross-platform mobile app (Flutter/React Native), live map/path visualization, hazard display, OTA update workflow, full Git repo with wiring diagrams, build instructions, and validation logs proving collision-free autonomous runs (3/3) and real-time manual control performance.

@vishwagw31

Hi, Hope this proposal finds you well. I am an AI researcher currently working on my own AI development company with a group of talented engineers. I have been working on several AI projects for past two years from autonomous drone to AI-powered video surveillance. I have done 13-month long work on autonomous drones where I worked on both hardware integration and drone control software development. I have worked on building voice controlled drone software application as a PoC for a client from Switzerland. I have also built several voice-controlled AI virtual assistant that can work as home AI assistant where primary input and output are natural language via voice. I have the ability to execute the project according to your expectations and beyond. I also have access to top talent from universities in my country. I believe this information will conclude that I am the best person for achieving your desired project outcome. Thank you so much for your time and opportunity.

@shivams0489

I will make this exciting project whenever you need this. Just tell me you need digitally or physically, i mean that you need full robot or just code and circuit diagrams.