You will get Computer Vision Algorithm with OpenCV and TensorFlow
Project details
This project stands out because it combines cutting-edge AI and computer vision expertise with a focus on real-world impact. I create solutions that are not only powerful but also easy to use and perfectly aligned with your needs. From gathering data to developing and deploying models, every step is crafted with precision to deliver results that go beyond expectations. My goal is to provide smart, efficient solutions that solve real problems and make a difference.
Machine Learning Tools
Keras, MATLAB, NumPy, NVIDIA AI Platform, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, SQL, Tableau, TensorFlowWhat's included
| Service Tiers |
Starter
$50
|
Standard
$250
|
Advanced
$600
|
|---|---|---|---|
| Delivery Time | 3 days | 6 days | 12 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 0 | 1 | 2 |
Number of Scenarios | 1 | 3 | 4 |
Number of Graphs/Charts | 0 | 1 | 2 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$150 - $1,200
Additional Revision
+$25
Additional Model Variation
(+ 2 Days)
+$50
Additional Scenario
(+ 4 Days)
+$100
Additional Graph/Chart
(+ 1 Day)
+$25
Model Documentation
(+ 1 Day)
+$25
Data Source Connectivity
(+ 1 Day)
+$25Frequently asked questions
2 reviews
(1)
(1)
(0)
(0)
(0)
This project doesn't have any reviews.
AA
Ahmad A.
Oct 6, 2025
Create Interactive Smart Building Dashboard GUI in Python (Tkinter or Custom Library)
JD
Jimi D.
Apr 18, 2025
Raspberry Pi Setup for Web Kiosk
Skilled with technology and able to implement my needs however did not pay very close attention to certain details that added some time and complexity. Overall, yes I would be likely to rehire Oumar.
About Oumar
Embedded Software Developer | IoT
67%
Job Success
Montreal, Canada - 8:58 am local time
Embedded C/C++ development on STM32, ESP32, Heltec, PIC16/18/24/32, Onion Omega, and Arduino platforms
AI/ML & CNN integration for smart edge applications
FPGA & VHDL design, including hardware-software co-design
PLC programming (Allen Bradley, Siemens)
Cross-platform development using Python (Tkinter, Qt), C#, and JavaScript (React, React Native, Node.js)
Web & API development, including HAL, BSP, and RESTful services
Strong understanding of protocols and interfaces: I2C, SPI, UART, MQTT, HTTP,Ethernet, CANbus
I bring a full-stack approach to embedded systems, from low-level firmware to cloud or web-based interfaces, and I’m passionate about building efficient, scalable, and production-ready solutions.
Steps for completing your project
After purchasing the project, send requirements so Oumar can start the project.
Delivery time starts when Oumar receives requirements from you.
Oumar works on your project following the steps below.
Revisions may occur after the delivery date.
Data Collection and Preprocessing
I will start by gathering the data provided by the client (images/videos) and preprocessing it. This includes resizing, normalizing, or augmenting the data to make it ready for training the computer vision model.
Model Selection and Training
I will select the most appropriate model architecture for the project (lanenet, CNN, YOLO, MobileNet) and begin the training process. The model will be trained on the preprocessed data and tuned for optimal performance.