You will get an AI-Powered Embedded System
Project details
I specialise in integrating AI with embedded systems, delivering optimized, real-time solutions for smart automation, IoT, and industrial applications. With expertise in STM32, ESP32, and AI model deployment, I ensure efficient, low-power, and high-performance implementations tailored to client needs. 🚀
AI Development Type
Deep Learning, Model TuningAI Tools
Keras, MATLAB, NVIDIA AI Platform, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included $4,500
These options are included with the project scope.
$4,500
- Delivery Time 45 days
- Number of Revisions 3
- AI Model Integration
- Detailed Code Comments
- Model Documentation
- Source Code
Optional add-ons
You can add these on the next page.
Fast 29 Days Delivery
+$850Frequently asked questions
About Duncan
AI Systems Engineer
Potchefstroom, South Africa - 10:48 am local time
I am an AI Systems Engineer with a B.Eng in Computer and Electronic Engineering, specialising in integrating intelligent systems and modernising existing solutions.
🔹 Expertise:
Deep/Machine Learning 🧠 | Computer Vision 👁️ | Generative Models 🎨
| System Integration 🔗 | Embedded Systems ⚙️
🔹 Projects:
GAN-based Gaze Correction 👀 | Automated Document Creation using LLMs 📄 | SME Agent Chatbot(s)🤓 | Real-time Virtual Production Tools 🎬
🔹 AI Automation:
Computer Vision 👁 | Chatbots 🤖 | Document Processing 📄 | Database Management 🗄️
Keywords: LLM (Large Language Models) 📚 | LAM (Language-Action Models) 🤖 | VLM (Vision-Language Models) 🌐 | Stable Diffusion 🎨 | GAN (Generative Adversarial Networks) ⚡ | Neural Networks 🧠 | Reinforcement Learning 🎮 | Robotics 🤖 | Predictive Modelling 📊 | Control Systems 🛠️
With a strong foundation in predictive modelling, control systems, and adaptive learning, I bridge the gap between cutting-edge AI and practical applications. Whether integrating robotics with custom protocols or exploring new AI frontiers, I am committed to pushing technological boundaries and delivering impactful solutions. 🚀
Steps for completing your project
After purchasing the project, send requirements so Duncan can start the project.
Delivery time starts when Duncan receives requirements from you.
Duncan works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Analysis
Review client-provided hardware specifications, AI model needs, and system constraints.
System Architecture Design
Define the AI processing pipeline, firmware structure, and communication protocols.