Smart Manufacturing IoT 4.0 Prototyping

Project Description

⚙️🏭  Smart Manufacturing IoT 4.0 Prototyping

🧠 Overview

We are seeking an experienced IoT Engineer, Automation Developer, or Industry 4.0 Specialist to design and prototype a Smart Manufacturing IoT 4.0 Platform.
The goal of this mission is to create a proof-of-concept system that demonstrates how connected sensors, data analytics, and AI-driven automation can optimize production efficiency, predictive maintenance, and real-time performance monitoring in manufacturing environments.

This project bridges hardware and software innovation — merging industrial IoT, machine learning, and smart factory automation into one scalable prototype.

🎯 Main Objective / Task

• Develop a working IoT 4.0 prototype system that can:
  • 📡 Collect and transmit real-time machine and sensor data (temperature, vibration, output metrics, etc.)
  • 🤖 Use AI/ML algorithms for predictive maintenance and anomaly detection
  • 🖥️ Provide a centralized dashboard for monitoring KPIs, alerts, and process insights
  • 🏭 Simulate or integrate with manufacturing equipment / PLCs / robotics
  • ☁️ Store and process data in the cloud or on-edge devices for analytics and control
• Develop a user-friendly interface for factory operators and managers.
• Provide complete documentation, API references, and a demo presentation.

🧩 Skills Required

• 🧠 IoT Development & Integration: MQTT, Modbus, OPC-UA, or REST APIs
• 💻 Embedded Systems: Arduino, Raspberry Pi, or ESP32 microcontrollers
• ☁️ Cloud Platforms: AWS IoT Core, Azure IoT Hub, or Google Cloud IoT
• 📊 Data Analytics & Visualization: Power BI, Grafana, or custom dashboards (React, Node.js)
• 🤖 AI/ML for Industry 4.0: TensorFlow, Scikit-learn, or PyTorch (for predictive analytics)
• 🔐 Cybersecurity: Secure IoT communications and authentication (TLS/SSL, encryption)
• 🏗️ Industrial Automation: PLC integration, SCADA systems, robotic process simulation

💼 Deliverables

• Functional Smart Manufacturing IoT prototype (hardware + software integration)
• Source code, wiring diagrams, and architecture documentation
• Dashboard demo showing live sensor analytics and automation logic
• Deployment guide for scaling to production or pilot environments

🕒 Mission Duration

6–10 weeks (depending on complexity and hardware scope)

💡 Outcome

This prototype will demonstrate a next-generation Industry 4.0 solution that improves efficiency, safety, and data-driven decision-making in manufacturing.
It will serve as a foundation for smart factory deployments, R&D demonstrations, or partnership pitches with industrial clients and investors.

🚀 Ideal Candidate

A hands-on IoT innovator or industrial automation engineer with experience connecting hardware, cloud systems, and AI analytics — passionate about building smart, sustainable manufacturing solutions that represent the future of production.