You will get SmartEdge: Embedded System & IoT Integration with AI and ML Models
Project details
We present SmartEdge solutions that offers.
"SmartEdge Essentials": Basic Embedded System and IoT integration with AI and ML Models.
Includes foundational features for entry-level projects.
Suitable for those new to embedded systems and AI/ML integration.
Standard Offer:
"SmartEdge Pro": Intermediate-level Embedded System and IoT integration with AI and ML Models.
Enhanced features and capabilities for more sophisticated projects.
Ideal for businesses and individuals seeking moderate complexity and functionality.
Advanced Offer:
"SmartEdge Elite": Advanced Embedded System and IoT integration with AI and ML Models.
Comprehensive features and advanced functionalities tailored for complex projects.
Designed for experienced professionals and organizations with demanding requirements and advanced use cases.
Regards,
Team Axio Electronics
"SmartEdge Essentials": Basic Embedded System and IoT integration with AI and ML Models.
Includes foundational features for entry-level projects.
Suitable for those new to embedded systems and AI/ML integration.
Standard Offer:
"SmartEdge Pro": Intermediate-level Embedded System and IoT integration with AI and ML Models.
Enhanced features and capabilities for more sophisticated projects.
Ideal for businesses and individuals seeking moderate complexity and functionality.
Advanced Offer:
"SmartEdge Elite": Advanced Embedded System and IoT integration with AI and ML Models.
Comprehensive features and advanced functionalities tailored for complex projects.
Designed for experienced professionals and organizations with demanding requirements and advanced use cases.
Regards,
Team Axio Electronics
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Azure Machine Learning, deeplearn.js, MATLAB, MLflow, NVIDIA AI Platform, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$499
|
Standard
$1,499
|
Advanced
$2,999
|
|---|---|---|---|
| Delivery Time | 5 days | 12 days | 18 days |
Number of Revisions | 1 | 2 | 2 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | |||
Model Documentation | |||
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$199 - $499
86 reviews
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This project doesn't have any reviews.
JC
Joshua C.
Aug 21, 2026
Assist in contract development and design of product parameters for the design.
Did not go as planned
NK
Naveen K.
Aug 12, 2026
Wearable Feasibility Study & Prototype — Sensors, Firmware, Data Pipeline for AI
Excellent work delivered within a tight timeline. Ram demonstrated a clear and strong understanding of the requirements from the beginning and needed minimal back-and-forth to execute the project.
He was highly professional, responsive, and consistently delivered on time. The quality of the work exceeded my expectations, and his breadth of hardware and embedded systems experience is well above most people I’ve worked with.
He successfully took the project from requirements through a functioning prototype and delivered exceptional results. I would definitely hire Ram again for future hardware/embedded projects. Highly recommended!
He was highly professional, responsive, and consistently delivered on time. The quality of the work exceeded my expectations, and his breadth of hardware and embedded systems experience is well above most people I’ve worked with.
He successfully took the project from requirements through a functioning prototype and delivered exceptional results. I would definitely hire Ram again for future hardware/embedded projects. Highly recommended!
NK
Naveen K.
Aug 12, 2026
30 minute consultation
Very valuable consultation. Came prepared, understood the problem quickly, and gave clear, practical answers instead of vague generalities. Saved us a lot of time and pointed us in the right direction. Highly recommended.
BG
Bizzie G.
Jul 29, 2026
Wearable Device Development
RS
Rafik S.
Jun 13, 2026
Medical Device Development - Electronic Stimulator
About Ram
Embedded/Hardware Engineer | Firmware, PCB, BLE | Wearable Medical IoT
83%
Job Success
Jaipur, India - 3:31 pm local time
⭐ 100% Upwork Job Success ⏳ 10+ years building hardware 📦 50+ devices shipped 🏭 Prototype → mass production 🛠️ End-to-end product development
I take projects from schematic to tested production units under one roof — with in-house SMT, prototyping, and pilot assembly up to ~500 devices. No months lost lining up a contract manufacturer before you have working hardware in hand.
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🩺 MEDICAL & HEALTH WEARABLES
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Devices I build:
- Health & vitals wearables — heart rate / HRV, SpO₂ / pulse oximetry, ECG, respiration, skin temperature
- Smart rings, bands & skin patches for continuous monitoring
- Remote patient-monitoring (RPM) & connected-health devices
- Pulse oximeters, ECG monitors, fitness & recovery straps
- Neurostim & biosignal devices — TENS/EMS, EDA/GSR
Standards-aware: IEC 60601, IEC 62304, ISO 13485, FDA 510(k) / CE. (I flag standards; I'm an engineer, not a regulatory consultant.)
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⌚ CONSUMER SMART DEVICES
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Devices I build:
- AI wearables & voice pendants — note-taking, voice capture, AI assistants
- Smart glasses — firmware/SDK, audio & sensor integration (not optics)
- Hearables & audio devices
- Smartwatches, fitness & wellness wearables
- Smart-home & Matter/Thread connected devices
- Asset, pet & personal trackers — BLE, GPS, LoRa, UWB; Apple Find My + Nearby Interaction, Google Find Hub (Find My Device), Fast Pair
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🤖 ON-DEVICE & EDGE AI
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The differentiator most teams are looking for now:
- On-device inference for health signals — arrhythmia/AFib screening, fall detection, activity & sleep classification
- ML-based motion-artifact rejection & signal-quality gating for wearable-grade PPG/ECG
- TinyML on MCU & edge silicon — privacy-first, low-latency, no cloud dependency
- AI companion-app + device integration
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🔧 TECH STACK — FULL
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🖥️ Compute & Logic
MCUs — Nordic nRF52/53/54L, STM32, NXP, TI, ESP32; ARM Cortex-M, RISC-V.
App processors / SoMs — i.MX, Jetson.
FPGA — Lattice iCE40 / CrossLink-NX, AMD/Xilinx.
🫀 Sensors & Biosignals
PPG/ECG/bio AFEs — MAX86174A, MAX30001, MAX86141, ADS1220/1292.
IMUs (ST/Bosch), temperature, optical, environmental.
Mic arrays & audio front-ends.
👓 Display, Vision & Audio
MIPI CSI/DSI, micro-OLED / microLED display drivers, camera + FPGA video pipelines
Audio codecs, beamforming, bone conduction — hearables & voice wearables.
💾 Firmware & OS
Bare-metal, Zephyr, FreeRTOS, ThreadX; Embedded Linux (Yocto/Buildroot) for camera/AI-class devices.
Secure boot & OTA, ultra-low-power firmware.
🤖 Edge AI
TinyML, TensorFlow Lite Micro, ONNX, Edge Impulse; NPU/accelerator targets, Jetson, Coral/EdgeTPU.
📡 Connectivity
BLE (+Mesh, direction finding), Wi-Fi, LoRa, Cellular (LTE-M/NB-IoT/Cat-1), UWB, Thread, Matter, NFC, GNSS.
📐 Hardware & PCB
Schematic + multilayer, HDI, high-speed & RF, rigid-flex / flex. Altium, KiCad. DFM/DFT.
🔋 Power
BMS, PMIC, Qi/AirFuel wireless charging, fuel gauging, energy harvesting, ultra-low-power design.
🛠️ Mechanical & Industrial Design
Enclosure & wearable form-factor design, 3D printing, injection molding, FEA, DFM. SolidWorks, Fusion 360.
☁️ Cloud & App
AWS IoT, Azure, MQTT; companion apps — Flutter, React Native, Swift, Kotlin.
✅ Compliance & Manufacturing
IEC 60601, IEC 62304, ISO 13485, FDA 510(k) / CE, FCC, RoHS, REACH.
BOM, DFM/DFA, QC, in-house SMT + pilot assembly to ~500 units.
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🚀 WHY ME
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🛠️ One source, every stage — feasibility through QC and pilot production. No vendor handoffs, no integration gaps to manage yourself.
🏭 In-house SMT + pilot assembly to ~500 units — design and build under one roof, no multi-month wait on a contract manufacturer.
🎯 Sensor hardware + on-device AI in one place — rare; most do one or the other.
🩺 Low-risk for medical — regulatory-aware workflow, 100% job success, repeat clients.
Send me the problem and your constraints — target cost, volume, certifications, timeline — and you'll get a straight technical read on feasibility before any commitment.
Steps for completing your project
After purchasing the project, send requirements so Ram can start the project.
Delivery time starts when Ram receives requirements from you.
Ram works on your project following the steps below.
Revisions may occur after the delivery date.
Review
Please review the deliverables