You will get a Secure IoT System | Raspberry Pi + Cloud Dashboard
Project details
I deliver end-to-end IoT solutions that go beyond simple device connectivity — combining secure cloud integration, real-time dashboards, and AI-driven automation. Unlike basic setups, my projects are designed for reliability, scalability, and future growth. With expertise in Raspberry Pi, multi-sensor integration, FPGA, and cloud platforms (AWS, Azure, Google Cloud), I ensure your system is not only functional but also secure, efficient, and easy to manage. Clients choose me because I turn complex embedded and IoT challenges into clear, professional solutions that deliver real business value.
Programming Languages
JavaScript, Python, C#Coding Expertise
Cross Browser & Device Compatibility, Performance Optimization, DesignWhat's included
| Service Tiers |
Starter
$99
|
Standard
$250
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 1 | 1 |
Number of Pages | 0 | 0 | 0 |
Design Customization | - | - | |
Content Upload | - | ||
Responsive Design | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$100
Additional Revision
+$100About Muhammad
IoT & Embedded Systems Engineer | Raspberry Pi, AI, Cloud
Rawalpindi, Pakistan - 6:03 am local time
I work with businesses and innovators to build intelligent, connected solutions that bring real-world value. With expertise in embedded engineering, IoT, AI, machine learning, and FPGA systems, I deliver projects that are both technically sound and practical to use.
Core Expertise
• Embedded systems using STM32, ESP32, Raspberry Pi, and PIC with a strong focus on firmware, hardware interfacing, and real-time processing
• AI and machine learning including TensorFlow Lite, computer vision, NLP, and deep learning models for edge devices
• IoT solutions from multi-sensor integration to cloud connectivity on AWS, Azure, or Google Cloud, including dashboards and automation
Project Highlights
• Real-time RF signal analysis on FPGA using FFT
• AI-powered surveillance with STM32 and TensorFlow Lite
• Sign-to-voice communication system using EMG sensors and ESP32
• Smart home automation built with MCUs and IoT integration
Why Work With Me
My focus is on solving problems with solutions that are reliable, efficient, and ready for the future. Clients value my ability to combine deep technical knowledge with clear communication and a professional approach, ensuring every project is completed to the highest standard.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering
Client purchases the project and provides details (goal, sensors/actuators, cloud preference, dashboard needs).
System Design
Define architecture: Raspberry Pi setup, cloud integration method, and dashboard structure.